Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-21T04:30:26.943Z Has data issue: false hasContentIssue false

Part IV - Prevention and Treatment

Published online by Cambridge University Press:  13 July 2020

Edited by
Steve Sussman
Steve Sussman
Affiliation:
University of Southern California
Get access

Summary

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
The Cambridge Handbook of Substance and Behavioral Addictions , pp. 199 - 294
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

References

Bandura, A. (1965). Influence of models’ reinforcement contingencies on the acquisition of imitative responses. Journal of Personality and Social Psychology, 1, 589–595.Google Scholar
Bandura, A. (1977). Social Learning Theory. Englewood Cliffs. NJ: Prentice-Hall.Google Scholar
Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Bandura, A. (1997). Self-Efficacy: The Exercise of Control. New York, NY: W. W. Freeman & Co.Google Scholar
Bandura, A., Ross, D. & Ross, S. A. (1961). Transmission of aggression through imitation of aggressive models. Journal of Abnormal and Social Psychology, 63, 575–582.Google Scholar
Bandura, A. & Walters, R. H. (1963). Social Learning and Personality Development. New York, NY: Holt, Rinehart & Winston.Google Scholar
Bateson, G. (1972). Steps to an Ecology of Mind. Chicago, IL: University of Chicago Press.Google Scholar
Beets, M. W., Flay, B. R., Vuchinich, S., et al. (2008). School climate and teachers’ beliefs and attitudes associated with implementation of the Positive Action Program: A diffusion of innovations model. Prevention Science, 9, 264–275.Google Scholar
Berkel, C., Mauricio, A. M., Schoenfelder, E. & Sandler, I. N. (2011). Putting the pieces together: An integrated model of program implementation. Prevention Science, 12, 23–33.CrossRefGoogle ScholarPubMed
Berry, J. W. (1976). Human Ecology and Cognitive Style: Comparative Studies in Cultural and Psychological Adaptation. New York, NY: Sage/Hasted.Google Scholar
Birkeland, S., Murphy-Graham, E. & Weiss, C. (2005). Good reasons for ignoring good evaluation: The case of the drug abuse resistance education (D.A.R.E.) program. Evaluation and Program Planning, 28, 247–256.Google Scholar
Botvin, G. J. (2000). Preventing drug abuse in schools: Social and competence enhancement approaches targeting individual-level etiological factors. Addictive Behaviors, 25, 887–897.Google Scholar
Botvin, G. J. & Dusenbury, L. (1987). Life Skills Training: A psychoeducational approach to substance abuse prevention. In Maher, C. A. & Zins, J. E. (Eds.), Psychoeducational Interventions in Schools: Methods and Procedures for Enhancing Student Competence. Elmford, NY: Pergamon Press Inc., pp. 46–65.Google Scholar
Botvin, G. J., Griffin, K. W., Diaz, T. & Ifill-Williams, M. (2001a). Drug abuse prevention among minority adolescents: Posttest and one-year follow-up of a school-based preventive intervention. Prevention Science, 2, 1–13.Google Scholar
Botvin, G. J., Griffin, K. W., Diaz, T. & Ifill-Williams, M. (2001b). Preventing binge drinking during early adolescence: One- and two-year follow-up of a school-based preventive intervention. Psychology of Addictive Behaviors, 15, 360–365.CrossRefGoogle ScholarPubMed
Botvin, G. J., Griffin, K. W., Diaz, T., Miller, N. & Ifill-Williams, M. (1999). Smoking initiation and escalation in early adolescent girls: One-year follow-up of a school-based prevention intervention for minority youth. Journal of the American Medical Women’s Association, 54, 139–143.Google Scholar
Botvin, G. J., Schinke, S. P., Epstein, J. A. & Diaz, T. (1994). Effectiveness of culturally focused and generic skills training approaches to alcohol and drug abuse prevention among minority youth. Psychology of Addictive Behaviors, 8, 116–127.Google Scholar
Botvin, G. J., Schinke, S. P., Epstein, J. A., Diaz, T. & Botvin, E. M. (1995). Effectiveness of culturally focused and generic skills training approaches to alcohol and drug abuse prevention among minority adolescents: Two-year follow-up results. Psychology of Addictive Behaviors, 9, 183–194.CrossRefGoogle Scholar
Caputi, T. L. & McLellan, T. (2017). Truth and D.A.R.E.: Is D.A.R.E’s new Keepin’ it REAL curriculum suitable for American nationwide implementation? Drugs, Education, Prevention and Policy, 24, 49–57.Google Scholar
Castro, F. G., Barrera, M. & Martinez, C. R. (2004). The cultural adaptation of prevention interventions: Resolving tensions between fidelity and fit. Prevention Science, 5, 41–45.Google Scholar
Caulkins, J. P., Pacula, R. L., Paddock, S. & Chiesa, J. (2004). What we can—and cannot—expect from school-based drug prevention. Drug and Alcohol Review, 23, 79–87.Google Scholar
Center for Behavioral Health Statistics and Quality (2016). Key substance use and mental health indicators in the United States: Results from the 2015 National Survey on Drug Use and Health (HHS Publication No. SMA 16-4984, NSDUH Series H-51). Retrieved from www.samhsa.gov/data/Google Scholar
Chen, H. T. (1990). Theory Driven Evaluation. Newbury Park, CA: Sage.Google Scholar
Clayton, R. R., Cattarello, A. M. & Johnstone, B. M. (1996). The effectiveness of Drug Abuse Resistance Education (Project DARE): 5-year follow-up results. Preventive Medicine, 25, 307–318.Google Scholar
Colby, M., Hecht, M. L., Miller-Day, M., et al. (2013). Adapting school-based substance use prevention curriculum through cultural grounding: A review and exemplar of adaptation processes for rural schools. American Journal of Community Psychology, 51, 190–205.Google Scholar
Collins, L. M., Graham, J. W. & Flaherty, B. P. (1998). An alternative framework for defining mediation. Multivariate Behavioral Research, 33, 295–312.CrossRefGoogle ScholarPubMed
Day, L. E., Miller-Day, M., Hecht, M. L. & Fehmie, D. (2017). Coming to the new D.A.R.E.: A preliminary test of the officer-taught elementary keepin’ it REAL curriculum. Addictive Behaviors, 74, 67–73.Google Scholar
DeGarmo, D. S., Eddy, J. M., Reid, J. B. & Fetrow, R. A. (2009). Evaluating mediators of the impact of the Linking the Interests of Families and Teachers (LIFT) multimodal preventive intervention on substance use initiation and growth across adolescence. Prevention Science, 10, 208–220.Google Scholar
DFSCA (1987). Drug-Free Schools and Community Act, 1987, Pub. Law. No. 101-226 § 103 stat.Google Scholar
Donaldson, S. I. (2001). Mediator and moderator analysis in program development. In Sussman, S. (Ed.), Handbook of Program Development for Health Behavior Research and Practice. Thousand Oak, CA: Sage Publications, pp. 470–500.Google Scholar
Durlak, J. A., Domitrovich, C. E., Weisberg, R. P. & Gullotta, T. P. (Eds.) (2015). Handbook of Social and Emotional Learning. New York, NY: Guilford Press.Google Scholar
Durlak, J. A. & DuPre, E. P. (2008). Implementation matters: A review of research on the influence of implementation on program outcomes and the factors affecting implementation. American Journal of Community Psychology, 41, 327–350.Google Scholar
Eiden, R. D., Lessard, J., Colder, C. R., et al. (2016). Developmental cascade model for adolescent substance use from infancy to late adolescence. Developmental Psychology, 52, 1619–1633.Google Scholar
Elek, E., Wagstaff, D. A. & Hecht, M. L. (2010). Effects of the 5th and 7th grade enhanced version of the keepin’ it REAL substance use prevention curriculum. Journal of Drug Education, 40, 61–79.Google Scholar
Ennett, S. T., Tobler, N. S., Ringwalt, C. L. & Flewelling, R. L. (1994). How effective is drug abuse resistance education? A meta-analysis of Project DARE outcome evaluations. American Journal of Public Health, 84, 1394–1401.CrossRefGoogle ScholarPubMed
ESSA (2015). Every Student Succeeds Act of 2015, Pub. Law. No. 114-95 § 114 stat.Google Scholar
Evans, R.I., Rozelle, R.M., Mittelmark, M.B., et al. (1978). Deterring the onset of smoking in children: Knowledge of immediate physiological effects and coping with peer pressure, media pressure, and parent modeling. Journal of Applied Social Psychology, 8, 126–135.Google Scholar
Flay, B. R. (1985). Psychosocial approaches to smoking prevention: A review of findings. Health Psychology, 4, 449–488.CrossRefGoogle ScholarPubMed
Flay, B. R., Biglan, A., Boruch, R. F., et al. (2005). Standards of evidence: Criteria for efficacy, effectiveness and dissemination. Prevention Science, 6, 151–175.CrossRefGoogle ScholarPubMed
Furr-Holden, C. D. M., Ialongo, N. S., Anthony, J. C., Petras, H. & Kellam, S. G. (2004). Developmentally inspired drug prevention: Middle school outcomes in a school-based randomized prevention trial. Drug and Alcohol Dependence, 73, 149–158.Google Scholar
Giles, S. M., Harrington, N. G. & Fearnow-Kenney, M. (2001). Evaluation of the All Stars program: Student and teacher factors that influence mediators of substance use. Journal of Drug Education, 31, 385–397.Google Scholar
Gosin, M., Marsiglia, F. F. & Hecht, M. L. (2003). keepin’ it R.E.A.L.: A drug resistance curriculum tailored to the strengths and needs of pre-adolescents of the southwest. Journal of Drug Education, 33, 119–142.Google Scholar
Gottfredson, D. C. & Gottfredson, G. D. (2002). Quality of school-based prevention programs: Results from a national survey. Journal of Research in Crime and Delinquency, 39, 3–35.CrossRefGoogle Scholar
Greenfield, P. M. (2009). Linking social change and developmental change: Shifting pathways of human development. Developmental Psychology, 45, 401–418.Google Scholar
Greenfield, P. M. (2000). Three approaches to the psychology of culture: Where do they come from? Where can they go? Asian Journal of Social Psychology, 3, 223–240.Google Scholar
Greenfield, P. M., Keller, H., Fuligni, A. & Maynard, A. (2003). Cultural pathways through universal development. Annual Review of Psychology, 54, 461–490.Google Scholar
Griffin, K. W. & Botvin, G. J. (2004). The prevention and treatment of adolescent drug abuse. In Allen-Meares, P. & Fraser, M. W. (Eds.), Intervention with Children and Adolescents: An Interdisciplinary Perspective. Boston, MA: Allyn & Bacon, pp. 335–355.Google Scholar
Griffin, K. W., Botvin, G. J. & Nichols, T. R. (2004). Long-term follow-up effects of a school-based drug abuse prevention program on adolescent risky drinking. Prevention Science, 5, 207–212.CrossRefGoogle Scholar
Griffin, K. W., Botvin, G. J. & Nichols, T. R. (2006). Effects of a school-based drug abuse prevention program for adolescents on HIV risk behavior in young adulthood. Prevention Science, 7, 103–112.Google Scholar
Hansen, W. B. (2015). All Stars: A conceptual history. In Scheier, L. M. (Ed.), Handbook of Drug Abuse Prevention Research, Intervention Strategies, and Practice. Washington, DC: American Psychological Association, pp. 197–216.Google Scholar
Hansen, W. B. & McNeal, R. B. (1996). The law of maximum expected potential effect: Constraints placed on program effectiveness by mediator relationships. Health Education Research: Theory & Practice, 11, 501–507.Google Scholar
Hansen, W. B., Graham, J. W., Wolkenstein, B. H. & Rohrbach, L. A. (1991). Program integrity as a moderator of prevention program effectiveness: Results for fifth-grade students in the adolescent alcohol prevention trial. Journal of Studies on Alcohol and Drugs, 52, 568–579.Google Scholar
Harrington, N. G., Giles, S. M., Hoyle, R. H., Feeney, G. J. & Yungbluth, S. C. (2001). Evaluation of the All Stars character education and problem behavior prevention program: Effects on mediator and outcome variables for middle school students. Health Education & Behavior, 28, 533–546.Google Scholar
Harthun, M. L., Dustman, P. A., Reeves, L. J., Marsiglia, F. F. & Hecht, M. L. (2009). Using community-based participatory research to adapt keepin’ it REAL: Creating a socially, developmentally, and academically appropriate prevention curriculum for 5th graders. Journal of Alcohol and Drug Education, 53, 12–38.Google Scholar
Hawkins, J. D., Catalano, R. F., Kosterman, R., Abbott, R. D. & Hill, K. G. (1999). Preventing adolescent health-risk behavior by strengthening protection during childhood. Archives of Pediatrics & Adolescent Medicine, 153, 226–234.Google Scholar
Hawkins, J. D., Catalano, R. F. & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112, 64–105.Google Scholar
Hawkins, J. D., Guo, J., Hill, K. G., Battin-Pearson, S. & Abbott, R. D. (2001). Long-term effects of the Seattle Social Development Intervention on school bonding trajectories. Applied Developmental Science, 5, 225–236.Google Scholar
Hawkins, J. D., Kosterman, R., Catalano, R. F., Hill, K. G. & Abbott, R. D. (2008). Effects of social development intervention in childhood 15 years later. Archives of Pediatric and Adolescent Medicine, 16, 1133–1141.Google Scholar
Hecht, M. L. & Krieger, J. L. R. (2006). The principle of cultural grounding in school-based substance abuse prevention. Journal of Language and Social Psychology, 25, 301–319.Google Scholar
Hecht, M. L., Graham, J. W. & Elek, E. (2006). The drug resistance strategies intervention: Program effects on substance use. Health Communication, 20, 267–276.Google Scholar
Hecht, M. L., Marsiglia, F. F., Elek, E., et al. (2003). Culturally grounded substance use prevention: An evaluation of the keepin’ it R.E.A.L. curriculum. Prevention Science, 4, 233–248.Google Scholar
Hill, K. G., Woodward, D., Woelfel, T., Hawkins, J. D. & Green, S. (2016). Planning for long-term follow-up: Strategies learned from longitudinal studies. Prevention Science, 17, 806–818.Google Scholar
Jackson, K. M. & Schulenberg, J. E. (2013). Alcohol use during the transition from middle school to high school: National panel data on prevalence and moderators. Developmental Psychology, 49, 2147–2158.Google Scholar
Johnston, L. D., Bachman, J. G. & O’Malley, P. M. (1977). Drug Use Among American High School Students, 1975–1977 (DHEW Publication No. [ADM] 78-619). Rockville, MD: National Institute on Drug Abuse, 256 pages.Google Scholar
Johnston, L. D., Miech, R. A., O’Malley, P. M., et al. (2018). Monitoring the Future National Survey Results on Drug Use: 1975–2017: Overview, Key Findings on Adolescent Drug Use. Ann Arbor, MI: Institute for Social Research, University of Michigan.Google Scholar
Judd, C. M. & Kenny, D. A. (1981). Process analysis: Estimating mediation in treatment evaluations. Evaluation Review, 5, 602–619.Google Scholar
Kandel, D. B. (Ed.) (2002). Stages and Pathways of Drug Involvement: Examining the Gateway Hypothesis. New York, NY: Cambridge University Press.Google Scholar
Kann, L., McManus, T., Harris, W. A., et al. (2015). Center for Disease Control and Prevention, Youth Risk Behavior Surveillance – United States, 2015. Morbidity and Mortality Weekly Report, Surveillance Summaries, 65(6), 1–173.Google Scholar
Katz, J. & Wandersman, A. (2016). Technical assistance to enhance prevention capacity: A research synthesis of the evidence base. Prevention Science, 17, 417–428.Google Scholar
Kealey, K. A., Peterson, A. V., Gaul, M. A. & Dinh, K. (2000). Teacher training as a behavior change process: Principles and results from a longitudinal study. Health Education and Behavior, 27, 64–81.Google Scholar
Kogan, S. M., Luo, Z., Brody, G. H. & Murry, V. M. (2005). The influence of high school dropout on substance use among African American youth. Journal of Ethnicity in Substance Abuse, 4, 35–51.CrossRefGoogle ScholarPubMed
Kuhn, T. S. (1970). The Structure of Scientific Revolutions (2nd edition). Chicago, IL: University of Chicago Press.Google Scholar
Kulis, S., Marsiglia, F. F., Elek, E., Dustman, P., Wagstaff, D. A. & Hecht, M. L. (2005). Mexican/Mexican American adolescents and keepin’ it REAL: An evidence-based substance use prevention program. Children & Schools, 27, 133–145.Google Scholar
Kulis, S., Nieri, T., Yabiku, S., Stromwall, L. K. & Marsiglia, F. F. (2007). Promoting reduced and discontinued substance use among adolescent substance users: Effectiveness of a universal prevention program. Prevention Science, 8, 35–49.Google Scholar
Kumpfer, K. L., Alvarado, R., Smith, P. & Bellamy, N (2002). Cultural sensitivity and adaptation in family-based prevention interventions. Prevention Science, 3, 241–246.CrossRefGoogle ScholarPubMed
Lanza, S. T. & Rhoades, B. L. (2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14, 157–168.Google Scholar
LaRusso, M. D., Romer, D. & Selman, R. L. (2008). Teachers as builders of respectful school climates: Implications for adolescent drug use norms and depressive symptoms in high school. Journal of Youth and Adolescence, 37, 386–398.Google Scholar
Liu, L. C., Flay, B. R. & Aban Aya Investigators (2009). Evaluating mediation in longitudinal multivariate data: Mediation effects for the Aban Aya Youth Project drug prevention program. Prevention Science, 10, 197–207.Google Scholar
Longshore, D., Ellickson, P. L., McCaffrey, D. F. & St. Clair, P. A. (2007). School-based drug prevention among at-risk adolescents: Effects of ALERT Plus. Health Education & Behavior, 34, 651–668.Google Scholar
Lynam, D. R., Milich, R., Zimmerman, R., et al. (1999). Project DARE: No effects at 10-year follow-up. Journal of Consulting and Clinical Psychology, 67, 590–593.Google Scholar
MacKinnon, D. P. (2000). Contrasts in multiple mediator models. In Rose, J., Chassin, L., Presson, C. C. & Sherman, S. J. (Eds.) Multivariate Applications in Substance Use Research: New Methods for New Questions. Mahwah, NJ: Lawrence Erlbaum, pp. 141–160.Google Scholar
MacKinnon, D. P. & Dwyer, J. H. (1993). Estimation of mediated effects in prevention studies. Evaluation Review, 17, 144–158.Google Scholar
MacKinnon, D. P., Johnson, C. A., Pentz, M. A., et al. (1991). Mediating mechanisms in a school-based drug prevention program: First year effects of the Midwestern Prevention Project. Health Psychology, 10, 164–172.Google Scholar
MacKinnon, D. P. & Lockwood, C. M. (2003). Advances in statistical methods for substance abuse prevention research. Prevention Science, 4, 155–171.Google Scholar
MacKinnon, D. P., Taborga, M. P. & Morgan-Lopez, A. A. (2002). Mediation designs for tobacco prevention research. Drug and Alcohol Dependence, 68, S69–S83.CrossRefGoogle ScholarPubMed
MacKinnon, D. P., Weber, M. D. & Pentz, M. A. (1989). How do school-based drug prevention programs work and for whom? Drugs and Society, 3, 125–143.Google Scholar
Mann, S. L., Peterson, A. V., Marek, P. M. & Kealey, K. A. (2000). The Hutchinson Smoking Prevention Project Trial: Design and baseline characteristics. Preventive Medicine, 30, 485–495.Google Scholar
Mason, W. A. & Spoth, R. L. (2012). Sequence of alcohol involvement from early onset to young adult alcohol abuse: Differential predictors and moderation by family-focused preventive intervention. Addiction, 107, 2137–2148.Google Scholar
Mason, W. A., Kosterman, R., Haggerty, K. P., et al. (2009). Gender moderation and social developmental mediation of the effect of a family-focused substance use prevention intervention on young adult alcohol abuse. Addictive Behaviors, 34, 599–605.Google Scholar
McCaul, K. D. & Glasgow, R. E. (1985). Preventing adolescent smoking: What have we learned about treatment construct validity? Health Psychology, 4, 361–387.Google Scholar
McGuire, W. J. (1966). Attitudes and opinions. Annual Review of Psychology, 17, 475–514.Google Scholar
McNeal, R. B., Hansen, W. B., Harrington, N. G. & Giles, S. M. (2004). How All Stars works: An examination of program effects on mediating variables. Health Education Quarterly, 31, 165–178.Google Scholar
Meca, A., Reinke, L. G. & Scheier, L. M. (2017). Acculturation and tobacco/illicit drug use in Hispanic youth. In Schwartz, S. J., and Unger, J. B. (Eds.), The Oxford Handbook of Acculturation and Health. New York, NY: Oxford University Press, pp. 281–299.Google Scholar
Miech, R. A., Johnston, L. D., O'Malley, P. M., et al. (2017). Monitoring the Future National Survey Results on Drug Use, 1975–2016: Volume I, Secondary School Students. Ann Arbor, MI: Institute for Social Research, The University of Michigan. Available at http://monitoringthefuture.org/pubs.html#monographsGoogle Scholar
NCLB (2001). No Child Left Behind Act of 2001, Pub. Law. No. 107-110, 20 U.S.C. § 6319 stat.Google Scholar
Office on Smoking and Health (2015). National Youth Tobacco Survey. Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion. Atlanta, GA: US Department of Health and Human Services.Google Scholar
Orlando, M., Ellickson, P. L., McCaffrey, D. F. & Longshore, D. L. (2005). Mediation analysis of a school-based drug prevention program: Effects of Project ALERT. Prevention Science, 6, 35–46.Google Scholar
Pas, E. T., Waasdorp, T. E. & Bradshaw, C. P. (2015). Examining contextual influences on classroom-based implementation of positive behavior support strategies: Findings from a randomized controlled effectiveness trial. Prevention Science, 16, 1096–1106.Google Scholar
Patterson, G. R., Forgatch, M. S. & DeGarmo, D. S. (2010). Cascading effects following intervention. Development and Psychopathology, 22, 949–970.CrossRefGoogle ScholarPubMed
Payne, A. A., Gottfredson, D. C. & Gottfredson, G. D. (2006). School predictors of the intensity of implementation of school-based prevention programs: Results from a national study. Prevention Science, 7, 225–237.Google Scholar
Pentz, M. A. (1983). Prevention of adolescent substance abuse through social skill development. In Glynn, T. J., Leukefeld, C. G. & Ludford, J. B. (Eds.), Preventing Adolescent Drug Abuse: Intervention Strategies. Washington, DC: NIDA Research Monograph, pp. 195–232.Google Scholar
Peterson, A. V., Kealey, K. A., Mann, S. L., Marek, P. M. & Sarason, I. G. (2000a). Hutchinson Smoking Prevention Project: Long-term randomized trial in school-based tobacco use prevention—Results on smoking. Journal of the National Cancer Institute, 92, 1979–1991.Google Scholar
Peterson, A. V., Mann, S. L., Kealey, K. A. & Marek, P. M. (2000b). Experimental design and methods for school-based randomized trials: Experience from the Hutchinson Smoking Prevention Project (HSPP). Controlled Clinical Trials, 21, 144–165.Google Scholar
Reinke, W. M., Stormont, M., Herman, K. C. & Newcomer, L. (2014). Using coaching to support teacher implementation of classroom-based interventions. Journal of Behavioral Education, 23, 150–167.Google Scholar
Resnicow, K., Soler, R. E., Braithwaite, R. L., Ahluwalia, J. S. & Butler, J. (2000). Cultural sensitivity in substance use prevention. Journal of Community Psychology, 28, 271–290.3.0.CO;2-I>CrossRefGoogle Scholar
Ringwalt, C. L., Ennett, S., Johnson, R., et al. (2003). Factors associated with fidelity to substance use prevention curriculum guides in the nation's middle schools. Health Education & Behavior, 30, 375–391.Google Scholar
Ringwalt, C. L., Vincus, A., Ennett, S., Johnson, R. & Rohrbach, L. A. (2004). Reasons for teachers’ adaptation of substance use prevention curricula in schools with non-white student populations. Prevention Science, 5, 61–67.Google Scholar
Ringwalt, C. L., Vincus, A., Hanley, S., et al. (2011). The prevalence of evidence-based drug use prevention curricula in U.S. middle schools in 2008. Prevention Science, 12, 63–69.Google Scholar
Rohrbach, L. A., Dent, C. W., Skara, S., Sun, P. & Sussman, S. (2007). Fidelity of implementation in Project Towards No Drug Abuse (TND): A comparison of classroom teacher and program specialists. Prevention Science, 8, 125–132.CrossRefGoogle ScholarPubMed
Rohrbach, L. A., Graham, J. G. & Hansen, W. B. (1993). Diffusion of a school-based substance abuse program: Predictors of program implementation. Preventive Medicine, 22, 237–260.Google Scholar
Romero, A. J. & Roberts, R. E. (2003). Stress within a bicultural context for adolescents of Mexican decent. Cultural Diversity and Ethnic Minority Psychology, 9, 171–184.Google Scholar
Rosenbaum, D. P., Gordon, S. & Hanson, S. (1998). Assessing the effects of school-based drug education: A six-year multilevel analysis of project D.A.R.E. Journal of Research in Crime and Delinquency, 35, 381–412.Google Scholar
Scheier, L. M. (2015). Theoretical models of drug use etiology: Foundations of prevention. In Scheier, L. M. (Ed.), Handbook of Adolescent Drug Use Prevention: Research, Intervention Strategies, and Practice. Washington, DC: American Psychological Association, pp. 67–83.Google Scholar
Scheier, L. M. (Ed.) (2010). Handbook of Adolescent Drug Use Prevention: Research, Intervention Strategies, and Practice. Washington, DC: American Psychological Association.Google Scholar
Scheier, L. M., Botvin, G. J. & Griffin, K. W. (2001). Preventive intervention effects on developmental progression in drug use: Structural equation modeling analyses using longitudinal data. Prevention Science, 2, 91–112.CrossRefGoogle ScholarPubMed
Shope, J. T., Elliott, M. R., Raghunathan, T. E. & Waller, P. F. (2001). Long-term follow-up of a high school alcohol prevention programs’ effect on students subsequent driving. Alcoholism: Clinical and Experimental Research, 25, 403–410.Google ScholarPubMed
Simons-Morton, B., Haynie, D., Saylor, K., Crump, A. D.,& Chen, R. (2005). Impact analysis and mediation of outcomes: The Going Places Program. Health Education & Behavior, 32, 227–241.Google Scholar
Skara, S. & Sussman, S. (2003). A review of 25 long-term adolescent tobacco and other drug use prevention program evaluations. Preventive Medicine, 37, 451–474.Google Scholar
Sloboda, Z., Stephens, R. C., Stephens, P. C., et al. (2009). The Adolescent Substance Abuse Prevention Study: A randomized field trial of a universal substance abuse prevention program. Drug and Alcohol Dependence, 102, 1–10.Google Scholar
Spitzberg, B. H. & Cupach, W. R. (1984). Interpersonal Communication Competence. Beverly Hills, CA: Sage Publications.Google Scholar
Stacy, A. W., Sussman, S., Dent, C. W., Burton, D. & Flay, B. R. (1992). Moderators of peer social influence in adolescent smoking. Journal of Personality and Social Psychology, 18, 163–172.Google Scholar
Sussman, S. (2017). Substance and Behavioral Addictions: Concepts, Causes, and Cures. New York, NY: Cambridge University Press.Google Scholar
Sussman, S., Hansen, W. B., Flay, B. R. & Botvin, G. J. (2001). Hutchinson Smoking Prevention Project: Long-term randomized trial in school-based tobacco use prevention-results on smoking. Journal of the National Cancer Institute, 93, 1267.Google Scholar
Sussman, S., Levy, D., Lich, K. H., et al. (2013). Comparing effects of tobacco use prevention modalities: Need for complex systems models. Tobacco Induced Diseases, 11, 1–14.Google Scholar
Sussman, S., Sun, P., Rohrbach, L. A. & Spruijt-Metz, D. (2012). One-year outcomes of a drug abuse prevention program for older teens and emerging adults: Evaluating a motivational interviewing booster component. Health Psychology, 31, 476–485.Google Scholar
Townsend, L., Flisher, A. J. & King, G. (2007). A systematic review of the relationship between high school dropout and substance use. Clinical Child and Family Psychology, 10, 295–317.Google Scholar
Vartiainen, E., Paavola, M., McAlister, A. & Puska, P. (1998). Fifteen-year follow-up of smoking prevention effects in the North Karelia Youth Project. American Journal of Public Health, 88, 81–85.Google Scholar
Vartiainen, E., Pallonen, U., McAlister, A., Koskela, K. & Puska, P. (1986). Four-year follow-up results of the smoking prevention program in the North Karelia Youth Project. Preventive Medicine, 15, 692–698.Google Scholar
Vartiainen, E., Pallonen, U., McAlister, A. & Puska, P. (1990). Eight-year follow-up results of an adolescent smoking prevention program: The North Karelia Youth Project. American Journal of Public Health, 80, 78–79.Google Scholar
Vincus, A. A., Ringwalt, C., Harris, M. S. & Shamblen, S. R. (2010). A short-term, quasi-experimental evaluation of D.A.R.E.'s revised elementary school curriculum. Journal of Drug Education, 40, 37–49.Google Scholar
West, S. G. & Aiken, L. S. (1997). Toward understanding individual effects in multicomponent prevention programs: Design and analysis strategies. In Bryant, K. J., Windle, M. & West, S. G. (Eds.), The Science of Prevention: Methodological Advances from Alcohol and Substance Abuse Research. Washington, DC: American Psychological Association, pp. 167–209.Google Scholar

References

Alcoholics Anonymous (1976). Alcoholics Anonymous. New York: Alcoholics Anonymous World Services.Google Scholar
American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders: DSM-V- TR (5th edition). Arlington, VA: American Psychiatric Publishing.Google Scholar
Barnett, P. G. & Swindle, R. W. (1997). Cost-effectiveness of inpatient substance abuse treatment. Health Services Research, 32(5), 615.Google Scholar
Barnett, E., Spruijt-Metz, D., Moyers, T. B., et al. (2014). Bidirectional relationships between client and counselor speech: The importance of reframing. Psychology of Addictive Behaviors, 28(4), 1212.Google Scholar
Bischof, G., Rumpf, H. J., Hapke, U., Meyer, C. & John, U. (2003). Types of natural recovery from alcohol dependence: A cluster analytic approach. Addiction, 98(12), 1737–1746.Google Scholar
Bischof, G., Rumpf, H. J. & John, U. (2012). Natural recovery from addiction. In Shaffer, H., LaPlante, D. A. & Nelson, S. E. (Eds.), APA Handbooks in Psychology®. APA Addiction Syndrome Handbook, Volume 2. Recovery, Prevention, and Other Issues. Washington, DC: American Psychological Association, pp. 133–155.Google Scholar
Bindra, D. & Stewart, J. (Eds.) (1966). Introduction to Motivation. Harmondsworth: Penguin Books.Google Scholar
Bluthenthal, R. N., Jacobson, J. O. & Robinson, P. L. (2007). Are racial disparities in alcohol treatment completion associated with racial differences in treatment modality entry? Comparison of outpatient treatment and residential treatment in Los Angeles County, 1998 to 2000. Alcoholism: Clinical and Experimental Research, 31(11), 1920–1926.Google Scholar
Brewer, J. A., Sinha, R., Chen, J. A., et al. (2009). Mindfulness training and stress reactivity in substance abuse: results from a randomized, controlled stage I pilot study. Substance Abuse, 30(4), 306–317.Google Scholar
Bufe, C. (1991). Alcoholics Anonymous: Cult or Cure? San Francisco, CA: Sharp Press.Google Scholar
Carroll, K. M., Connors, G. J., Cooney, N. L., et al. (1998). Internal validity of Project MATCH treatments: Discriminability and integrity. Journal of Consulting and Clinical Psychology, 66(2), 290.Google Scholar
Carter, B. L. & Tiffany, S. T. (1999). Meta‐analysis of cue‐reactivity in addiction research. Addiction, 94(3), 327–340.Google Scholar
Chafetz, M. E., Blanc, H. T. & Hill, M. J. (1970). Frontiers of Alcoholism. New York: Science House.Google Scholar
Conklin, C. A. & Tiffany, S. T. (2001). The impact of imagining personalized versus standardized urge scenarios on cigarette craving and autonomic reactivity. Experimental and Clinical Psychopharmacology, 9(4), 399.Google Scholar
Connors, G. J. (1998). Overview of Project MATCH. The Addictions Newsletter, 5, 4–5.Google Scholar
Cox, W. M., Fadardi, J. S., Intriligator, J. M. & Klinger, E. (2014). Attentional bias modification for addictive behaviors: Clinical implications. CNS Spectrums, 19(3), 215–224.Google Scholar
Cunningham, J. A. (1999). Resolving alcohol-related problems with and without treatment: The effects of different problem criteria. Journal of Studies on Alcohol, 60(4), 463–466.Google Scholar
Curry, S., Wagner, E. H. & Grothaus, L. C. (1990). Intrinsic and extrinsic motivation for smoking cessation. Journal of Consulting and Clinical Psychology, 58(3), 310.Google Scholar
Daughters, S. B., Lejuez, C. W., Bornovalova, M. A., et al. (2005). Distress tolerance as a predictor of early treatment dropout in a residential substance abuse treatment facility. Journal of Abnormal Psychology, 114(4), 729.Google Scholar
DiClemente, C. C., Prochaska, J. O., Fairhurst, S. K., et al. (1991). The process of smoking cessation: an analysis of precontemplation, contemplation, and preparation stages of change. Journal of Consulting and Clinical Psychology, 59(2), 295.Google Scholar
Drummond, D. C. (2000). What does cue‐reactivity have to offer clinical research? Addiction, 95(8s2), 129–144.Google Scholar
Duncan, D. F., Nicholson, T., Clifford, P., Hawkins, W. & Petosa, R. (1994). Harm reduction: An emerging new paradigm for drug education. Journal of Drug Education, 24(4), 281–290.Google Scholar
Engle, B., Macgowan, M. J., Wagner, E. F. & Amrhein, P. C. (2010). Markers of marijuana use outcomes within adolescent substance abuse group treatment. Research on Social Work Practice, 20(3), 271–282.Google Scholar
Ferri, M., Amato, L. & Davoli, M. (2006). Alcoholics Anonymous and other 12-step programmes for alcohol dependence. Cochrane Database of Systematic Reviews, 3. Article CD005032.Google Scholar
Field, M. & Eastwood, B. (2005). Experimental manipulation of attentional bias increases the motivation to drink alcohol. Psychopharmacology, 183(3), 350–357.Google Scholar
Fink, E. B., Longabaugh, R., McCrady, B. M., et al. (1985). Effectiveness of alcoholism treatment in partial versus inpatient settings: Twenty-four month outcomes. Addictive Behaviors, 10(3), 235–248.Google Scholar
Fletcher, B. W., Tims, F. M. & Brown, B. S. (1997). Drug Abuse Treatment Outcome Study (DATOS): Treatment evaluation research in the United States. Psychology of Addictive Behaviors, 11(4), 216.Google Scholar
Fiore, M. C., Jaen, C. R., Baker, T., et al. (2008). Treating Tobacco Use and Dependence: 2008 Update. Rockville, MD: US Department of Health and Human Services.Google Scholar
Fishbein, M. & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.Google Scholar
Florentine, R., Anglin, M. D., Gil-Rivas, V. & Taylor, E. (1997). Drug treatment: Explaining the gender paradox. Substance Use & Misuse, 32(6), 653–678.Google Scholar
Franken, I. H. (2003). Drug craving and addiction: integrating psychological and neuropsychopharmacological approaches. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 27(4), 563–579.Google Scholar
Galaif, E. R. & Sussman, S. (1995). For whom does Alcoholics Anonymous work? International Journal of the Addictions, 30(2), 161–184.Google Scholar
Galea, S. & Vlahov, D. (2002). Social determinants and the health of drug users: Socioeconomic status, homelessness, and incarceration. Public Health Reports, 117(Supplement 1), S135.Google Scholar
Goldfried, M. R. & Davison, G. C. (1994). Clinical Behavior Therapy (Expanded edition). New York: John Wiley & Sons.Google Scholar
Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54, 493–503.Google Scholar
Gordis, E., Dorph, D., Sepe, V. & Smith, H. (1981). Outcome of alcoholism treatment among 5578 patients in an urban comprehensive hospital‐based program: Application of a computerized data system. Alcoholism: Clinical and Experimental Research, 5(4), 509–522.Google Scholar
Gorski, T. T. & Miller, M. (1984). The Phases and Warning Signs of Relapse. Independence, MO: Independence Press.Google Scholar
Gorski, T. T. & Miller, M. (1986). Staying Sober: A Guide for Relapse Prevention. Independence, MO: Independence Press.Google Scholar
Granfield, R. & Cloud, W. (2001). Social context and “natural recovery”: The role of social capital in the resolution of drug-associated problems. Substance Use & Misuse, 36(11), 1543–1570.Google Scholar
Grant, B. F. (1997). Barriers to alcoholism treatment: Reasons for not seeking treatment in a general population sample. Journal of Studies on Alcohol, 58, 365–371.Google Scholar
Grant, J. E. & Odlaug, B. L. (2014). Diagnosis and treatment of gambling disorder. In Behavioral Addictions: Criteria, Evidence, and Treatment. London: Academic Press/Elsevier, pp. 35–60.Google Scholar
Grenard, J. L., Ames, S. L., Pentz, M. A. & Sussman, S. (2006). Motivational interviewing with adolescents and young adults for drug-related problems. International Journal of Adolescent Medicine and Health, 18(1), 53–68.Google Scholar
Grigsby, T. J., Sussman, S., Chou, C. P. & Ames, S. L. (2017). Assessment of substance misuse. In Research Methods in the Study of Substance Abuse. Cham, Switzerland: Springer, pp. 197–233.Google Scholar
Haggar, M. S., Lonsdale, A., Koka, A., et al. (2012). An intervention to reduce alcoholic consumption in undergraduate students using implementation intentions and mental simulations: A cross-national study. International Journal of Behavioral Medicine, 19, 82–96.Google Scholar
Hendershot, C. S., Witkiewitz, K., George, W. H. & Marlatt, G. A. (2011). Relapse prevention for addictive behaviors. Substance Abuse Treatment, Prevention, and Policy, 6, 17.Google Scholar
Heslin, K. C., Singzon, T., Aimiuwu, O., Sheridan, D. & Hamilton, A. (2012). From personal tragedy to personal challenge: responses to stigma among sober living home residents and operators. Sociology of Health & Illness, 34(3), 379–395.Google Scholar
Heyman, G. M. (2013). Quitting drugs: quantitative and qualitative features. Annual Review of Clinical Psychology, 9, 29–59.Google Scholar
Hettema, J., Steele, J. & Miller, W. R. (2005). Motivational interviewing. Annual Review of Clinical Psychology, 1, 91–111.Google Scholar
Higgins, S. T., Budney, A. J., Bickel, W. K., et al. (1994). Incentives improve outcome in outpatient behavioral treatment of cocaine dependence. Archives of General Psychiatry, 51(7), 568–576.Google Scholar
Higgins, S. T., Wong, C. J., Badger, G. J., Ogden, D. E. H. & Dantona, R. L. (2000). Contingent reinforcement increases cocaine abstinence during outpatient treatment and 1 year of follow-up. Journal of Consulting and Clinical Psychology, 68(1), 64–72.Google Scholar
Horigian, V. E., Feaster, D. J., Brincks, A., et al. (2015). The effects of Brief Strategic Family Therapy (BSFT) on parent substance use and the association between parent and adolescent substance use. Addictive Behaviors, 42, 44–50.Google Scholar
Iguchi, M. Y. & Stitzer, M. L. (1991). Predictors of opiate drug abuse during a 90-day methadone detoxification. The American Journal of Drug and Alcohol Abuse, 17(3), 279–294.Google Scholar
Jacobson, J. O., Robinson, P. L. & Bluthenthal, R. N. (2007). Racial disparities in completion rates from publicly funded alcohol treatment: economic resources explain more than demographics and addiction severity. Health Services Research, 42(2), 773–794.Google Scholar
Jaehne, A., Loessl, B., Frick, K., et al. (2012). The efficacy of stepped care models involving psychosocial treatment of alcohol use disorders and nicotine dependence: A systematic review of the literature. Current Drug Abuse Reviews, 5, 41–51.Google Scholar
Johnson, V. E. (1980). I’ll Quit Tomorrow: A Practical Guide to Alcoholism Treatment. San Francisco, CA: Harper & Row.Google Scholar
Julien, R. M. (2005). A Primer of Drug Action (9th edition). New York: W. H. Freeman.Google Scholar
Kazemi, D. M., Borsari, B., Levine, M. J., et al. (2017). A systematic review of the mHealth interventions to prevent alcohol and substance abuse. Journal of Health Communication, 22(5), 413–432.Google Scholar
Kechter, A. & Black, D. S. (2020). Mindfulness-based interventions applied to addiction treatments. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions, Cambridge, UK: Cambridge University Press, pp. 409–418Google Scholar
Kelly, J. F., Hoeppner, B., Stout, R. L. & Pagano, M. (2012). Determining the relative importance of the mechanisms of behavior change within Alcoholics Anonymous: A multiple mediator analysis. Addiction, 107(2), 289–299.Google Scholar
Khalsa, S. B. S., Khalsa, G. S., Khalsa, H. K. & Khalsa, M. K. (2008). Evaluation of a residential JaKundalini yoga lifestyle pilot program for addiction in India. Journal of Ethnicity in Substance Abuse, 7(1), 67–79.Google Scholar
Khanna, S. & Greeson, J. M. (2013). A narrative review of yoga and mindfulness as complementary therapies for addiction. Complementary Therapies in Medicine, 21(3), 244–252.Google Scholar
Larimer, M. E., Palmer, R. S. & Marlatt, G. A. (1999). Relapse prevention: An overview of Marlatt's cognitive-behavioral model. Alcohol Research and Health, 23(2), 151–160.Google Scholar
Le Fauve, C. E., Lowman, C., Litten, R. Z. III & Mattson, M. E. (2003). Introduction: National Institute on Alcohol Abuse and Alcoholism workshop on treatment research priorities and health disparities. Alcoholism: Clinical and Experimental Research, 27, 1318–1320.Google Scholar
Liddle, H. A., Dakof, G. A., Parker, K., et al. (2001). Multidimensional family therapy for adolescent drug abuse: Results of a randomized clinical trial. The American Journal of Drug and Alcohol Abuse, 27(4), 651–688.Google Scholar
Magill, M. & Ray, L. A. (2009). Cognitive-behavioral treatment with adult alcohol and illicit drug users: A meta-analysis of randomized controlled trials. Journal of Studies on Alcohol and Drugs, 70(4), 516–527.Google Scholar
Manderlink, G. & Harackiewicz, J. M. (1984). Proximal versus distal goal setting and intrinsic motivation. Journal of Personality and Social Psychology, 47(4), 918.Google Scholar
Margolin, A., Kleber, H. D., Avants, S. K., et al. (2002). Acupuncture for the treatment of cocaine addiction: A randomized controlled trial. JAMA, 287(1), 55–63.Google Scholar
Marlatt, G. A. (1985). Relapse prevention: Theoretical rationale and overview of the model. In Marlatt, G. A. & Gordon, J. R. (Eds.), Relapse Prevention. New York: Guilford Press, pp. 3–70.Google Scholar
Marlatt, G. A., Larimer, M. E. & Witkiewitz, K. (Eds.) (2012). Harm Reduction: Pragmatic Strategies for Managing High-Risk Behaviors (2nd edition). New York: Guilford Press.Google Scholar
Marlatt, G. A., Somers, J. M. & Tapert, S. F. (1993). Harm reduction: Application to alcohol abuse problems. NIDA Research Monograph, 137, 147–166.Google Scholar
Mays, V. M., Jones, A., Delany-Brumsey, A., Coles, C. & Cochran, S. D. (2017). Perceived discrimination in healthcare and mental health/substance abuse treatment among blacks, latinos, and whites. Medical Care, 55(2), 173.Google Scholar
McAuliffe, W. E. & Dunn, R. (2004). Substance abuse treatment needs and access in the USA: Interstate variations. Addiction, 99, 999–1014.Google Scholar
McCaul, M. E., Svikis, D. S. & Moore, R. D. (2001). Predictors of outpatient treatment retention: Patient versus substance use characteristics. Drug and Alcohol Dependence, 62(1), 9–17.Google Scholar
McGeary, J. E., Meadows, S. P., Amir, N. & Gibb, B. E. (2014). Computer-delivered, home-based, attentional retraining reduces drinking behavior in heavy drinkers. Psychology of Addictive Behaviors, 28(2), 559.Google Scholar
McLellan, A. T., O’Brien, C. P., Lewis, D. & Kleber, H. D. (2000). Drug addiction as a chronic medical illness: Implications for treatment, insurance and evaluation. Journal of the American Medical Association, 284, 1689–1695.Google Scholar
McLellan, A. T. (2002). Have we evaluated addiction treatment correctly? Implications from a chronic care perspective. Addiction, 97(3), 249–252.Google Scholar
Meek, P. S., Clark, H. W. & Solana, V. L. (1989). Neurocognitive impairment: The unrecognized component of dual diagnosis in substance abuse treatment. Journal of Psychoactive Drugs, 21(2), 153–160.Google Scholar
Meichenbaum, D. (1977). Cognitive Behavior Modification: An Integrative Approach. New York: Plenum.Google Scholar
Mertens, J. R. & Weisner, C. M. (2000). Predictors of substance abuse treatment retention among women and men in an HMO. Alcoholism: Clinical and Experimental Research, 24(10), 1525–1533.Google Scholar
Miller, W. R. & Hester, R. K. (1986). Inpatient alcoholism treatment: Who benefits? American Psychologist, 41(7), 794.Google Scholar
Miller, W. R. & Rollnick, S. (2013). Motivational Interviewing: Helping People Change (3rd edition). New York: Guilford Press.Google Scholar
Mohatt, G. V., Rasmus, S. M., Thomas, L., et al. (2008). Risk, resilience, and natural recovery: A model of recovery from alcohol abuse for Alaska Natives. Addiction, 103(2), 205–215.Google Scholar
Monti, P. M., Abrams, D. B., Kadden, R. M. & Cooney, N. L. (1989). Treating Alcohol Dependence. New York: Guilford Press.Google Scholar
Monti, P. M., Rohsenow, D. J. & Hutchison, K. E. (2000). Toward bridging the gap between biological, psychobiological and psychosocial models of alcohol craving. Addiction, 95(8s2), 229–236.Google Scholar
Moody, L. N., Tegge, A. N., Poe, L. M., Koffarnus, M. N. & Bickel, W. K. (2018). To drink or to drink less? Distinguishing between effects of implementation intentions on decisions to drink and how much to drink in treatment-seeking individuals with alcohol use disorder. Addictive Behaviors, 83, 64–71.Google Scholar
Moos, R. H., Finney, J. W., Ouimette, P. C. & Suchinsky, R. T. (1999). A comparative evaluation of substance abuse treatment: I. Treatment orientation, amount of care, and 1‐year outcomes. Alcoholism: Clinical and Experimental Research, 23(3), 529–536.Google Scholar
Mueller, D. G. & Jason, L. A. (2014). Sober-living houses and changes in the personal networks of individuals in recovery. Health Psychology Research, 2(1), 5–10.Google Scholar
Mueller, L. A. & Ketcham, K. (1987). Recovering: How to Get and Stay Sober. New York: Bantam.Google Scholar
Narcotics Anonymous (1988). Narcotics Anonymous (5th edition). Van Nuys, CS: Narcotics Anonymous World Services.Google Scholar
Niaura, R. S., Rohsenow, D. J., Binkoff, J. A., et al. (1988). Relevance of cue reactivity to understanding alcohol and smoking relapse. Journal of Abnormal Psychology, 97(2), 133.Google Scholar
O'Farrell, T. J. & Fals-Stewart, W. (2000). Behavioral couples therapy for alcoholism and drug abuse. Journal of Substance Abuse Treatment, 18(1), 51–54.Google Scholar
Ouimette, P. C., Moos, R. H. & Finney, J. W. (1998). Influence of outpatient treatment and 12-step group involvement on one-year substance abuse treatment outcomes. Journal of Studies on Alcohol, 59(5), 513–522.Google Scholar
Pagano, M. E., Friend, K. B., Tonigan, J. S. & Stout, R. L. (2004). Helping other alcoholics in alcoholics anonymous and drinking outcomes: Findings from project MATCH. Journal of Studies on Alcohol, 65(6), 766–773.Google Scholar
Pediatric OCD Treatment Study (POTS) Team. (2004). Cognitive-behavior therapy, sertraline, and their combination for children and adolescents with obsessive-compulsive disorder. Journal of the American Medical Association, 292, 1969–1976.Google Scholar
Pentz, M. A., Sussman, S. & Newman, T. (1997). The conflict between least harm and no‐use tobacco policy for youth: Ethical and policy implications. Addiction, 92(9), 1165–1174.Google Scholar
Petry, N. M. (2003). A comparison of African American and non-Hispanic Caucasian cocaine-abusing outpatients. Drug and Alcohol Dependence, 69, 43–49.Google Scholar
Prestwich, A., Conner, M. & Lawton, R. (2006). Implementation intentions: Can they be used to prevent and treat addiction? In Wiers, R. W. & Stacy, A. W (Eds.), Handbook on Implicit Cognition and Addiction. Thousand Oaks, CA: Sage, pp. 455–469.Google Scholar
Prochaska, J. O. & DiClemente, C. C. (1982). Transtheoretical therapy: Toward a more integrative model of change. Psychotherapy: Theory, Research & Practice, 19(3), 276.Google Scholar
Ray, A. E., Kim, S. Y., White, H. R., et al. (2014). When less is more and more is less in brief motivational interventions: Characteristics of intervention content and their associations with drinking outcomes. Psychology of Addictive Behaviors, 28(4), 1026.Google Scholar
Rees, D. W. (1986). Changing patients' health beliefs to improve compliance with alcoholism treatment: A controlled trial. Journal of Studies on Alcohol, 47(5), 436–439.Google Scholar
Reinarman, C. & Levine, H. G. (Eds.) (1997). Real opposition, real alternatives.  Crack in America: Demon Drugs and Social Justice. University of California Press, p.345.Google Scholar
Rohsenow, D. J., Monti, P. M., Rubonis, A. V., et al. (1994). Cue reactivity as a predictor of drinking among male alcoholics. Journal of Consulting and Clinical Psychology, 62(3), 620.CrossRefGoogle ScholarPubMed
Rouse, B. A., Carter, J. H. & Rodriguez-Andrew, S. (1995). Race/ethnicity and other sociocultural influences on alcoholism treatment for women. In Galanter, M. (Ed.)Recent Developments in Alcoholism, Volume 12: Alcoholism and Women. New York: Plenum Press, pp. 343–367.Google Scholar
Rotter, J. B. (1954). Social Learning and Clinical Psychology. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Rowe, C. L. (2012). Family therapy for drug abuse: Review and updates 2003–2010. Journal of Marital and Family Therapy, 38(1), 59–81.Google Scholar
Ryan, R. M., Plant, R. W. & O'Malley, S. (1995). Initial motivations for alcohol treatment: Relations with patient characteristics, treatment involvement, and dropout. Addictive Behaviors, 20(3), 279–297.Google Scholar
Salimi, A., Safari, F., Mohajerani, S. A., et al. (2014). Long-term relapse of ultra-rapid opioid detoxification. Journal of Addictive Diseases, 33(1), 33–40.Google Scholar
Scott, W. C., Kaiser, D., Othmer, S. & Sideroff, S. I. (2005). Effects of an EEG biofeedback protocol on a mixed substance abusing population. The American Journal of Drug and Alcohol Abuse, 31(3), 455–469.Google Scholar
Shaffer, H. J., LaSalvia, T. A. & Stein, J. (1997). Comparing Hatha yoga with dynamic group psychotherapy for enhancing methadone maintenance treatment: A randomized clinical trial. Alternative Therapies in Health and Medicine, 3, 57–67.Google Scholar
Simpson, D. D. & Joe, G. W. (1993). Motivation as a predictor of early dropout from drug abuse treatment. Psychotherapy: Theory, Research, Practice, Training, 30(2), 357–368.Google Scholar
Stark, M. J. (1992). Dropping out of substance abuse treatment: A clinically oriented review. Clinical Psychology Review, 12(1), 93–116.Google Scholar
Stea, J. N., Yakovenko, I. & Hodgins, D. C. (2015). Recovery from cannabis use disorders: Abstinence versus moderation and treatment-assisted recovery versus natural recovery. Psychology of Addictive Behaviors, 29(3), 522–531.Google Scholar
Stead, L. F. & Lancaster, T. (2005). Group behavior therapy programmes for smoking cessation. Cochrane Database of Systematic Reviews, 2. Article CD001007.Google Scholar
Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. (2017).Treatment Episode Data Set (TEDS): 2005–2015. National Admissions to Substance Abuse Treatment Services. BHSIS Series S-91, HHS Publication No. (SMA) 17-5037. Rockville, MD: Substance Abuse and Mental Health Services Administration (www.samhsa.gov/data/nsduh/reports-detailed-tables-2017-NSDUH; accessed October 23, 2018).Google Scholar
Sussman, S. (1996). Development of a school-based drug abuse prevention curriculum for high-risk youths. Journal of Psychoactive Drugs, 28(2), 169–182.Google Scholar
Sussman, S. (2010). A review of Alcoholics Anonymous/Narcotics Anonymous programs for teens. Evaluation & the Health Professions, 33(1), 26–55.CrossRefGoogle ScholarPubMed
Sussman, S. (2015). Evaluating the efficacy of Project TND: Evidence from seven research trials. Handbook of Adolescent Drug Use Prevention: Research, Intervention Strategies, and Practice. Washington, DC: American Psychological Association.Google Scholar
Sussman, S. (2017). Substance and Behavioral Addictions: Concepts, Causes, and Cures. Cambridge: Cambridge University Press.Google Scholar
Sussman, S. Y. & Ames, S. L. (2001). The Social Psychology of Drug Abuse. Buckingham: Open University Press.Google Scholar
Sussman, S. & Ames, S. L. (2008). Drug Abuse: Concepts, Prevention, and Cessation. Cambridge: Cambridge University Press.Google Scholar
Sussman, S. & Pakdaman, S. (2020). Appetitive needs and addiction. In Sussman, S (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 3–12.Google Scholar
Sussman, S., Cowgill, B., Galstyan, E. & Richardson, J. (2018). Substance abuse. In: Forman, S. G. & Shahidullah, J. D. (Eds.), Handbook of Pediatric Behavioral Healthcare: An Interdisciplinary Collaborative Approach. New York: Springer Publishing Company, pp. 213–227.Google Scholar
Sussman, S., Milam, J., Arpawong, T. E., et al. (2013). Spirituality in addictions treatment: Wisdom to know… what it is. Substance Use & Misuse, 48(12), 1203–1217.Google Scholar
Sutton, S. R. & Eiser, J. R. (1984). The effect of fear-arousing communications on cigarette smoking: An expectancy-value approach. Journal of Behavioral Medicine, 7(1), 13–33.Google Scholar
Swartz, R. (2010). Medical marijuana users in substance abuse treatment. Harm Reduction Journal, 7(1), 3.Google Scholar
Talbott, G. D. & Crosby, L. R. (2001). Recovery contracts: Seven key elements. Addiction Recovery Tools: A Practical Handbook. Thousand Oaks, CA: Sage, pp. 127–146.CrossRefGoogle Scholar
Ter Riet, G., Kleijnen, J. & Knipschild, P. (1990). A meta-analysis of studies into the effect of acupuncture on addiction. British Journal of General Practice, 40(338), 379–382.Google Scholar
Toneatto, T., Sobell, L. C., Sobell, M. B. & Rubel, E. (1999). Natural recovery from cocaine dependence. Psychology of Addictive Behaviors, 13(4), 259.Google Scholar
Trimpey, J. (1989). The Small Book: A Revolutionary Alternative for Overcoming Alcohol and Drug Dependence. New York: Delacorte Press.Google Scholar
Trimpey, J. (1996). Rational Recovery: The New Cure for Substance Addiction. New York: Pocket Books.Google Scholar
Trudeau, K. J., Black, R. A., Kamon, J. L. & Sussman, S. (2017). A randomized controlled trial of an online relapse prevention program for adolescents in substance abuse treatment. Child & Youth Care Forum,  46(3),437–454.Google Scholar
Vigezzi, P., Guglielmino, L., Marzorati, P., et al. (2006). Multimodal drug addiction treatment: A field comparison of methadone and buprenorphine among heroin- and cocaine-dependent patients. Journal of Substance Abuse Treatment, 31, 3–7.Google Scholar
Villanueva, M., Tonigan, J. S. & Miller, W. R. (2002). A retrospective study of client-treatment matching: Differential treatment response of Native American alcoholics in Project MATCH [Abstract]. Alcoholism: Clinical and Experimental Research, 26(Supplement 5), 83A.Google Scholar
Wakefield, J. C. & Schmitz, M. F. (2014). How many people have alcohol use disorders? Using the harmful dysfunction analysis to reconcile prevalence estimates in two community surveys. Frontiers in Psychiatry, 5, 10.Google Scholar
Waldorf,  D. (1983). Natural recovery from opiate addiction: Some social–psychological process of untreated recovery. Journal of Drug Issues,  13(Spring), 237–280. [Google Scholar]Google Scholar
Waldorf, D., Reinarman, C. & Murphy, S. (1992). Cocaine Changes: The Experience of Using and Quitting (Volume 49). Philadelphia: Temple University Press.Google Scholar
Wallen, J. (1992). A comparison of male and female clients in substance abusetreatment. Journal of Substance Abuse Treatment, 9(3), 243–248.Google Scholar
Walton, M. A., Blow, F. C., Bingham, C. R. & Chermack, S. T. (2003). Individual and social/environmental predictors of alcohol and drug use 2 years following substance abuse treatment. Addictive Behaviors, 28(4), 627–642.Google Scholar
Weisner, C., Matzger, H., Tam, T. & Schmidt, L. (2002). Who goes to alcohol and drug treatment? Understanding utilization within the context of insurance. Journal of Studies on Alcohol, 63(6), 673–682.Google Scholar
Weiss, R. D., Jaffee, W. B., Menil de, V. P. & Cogley, C. B. (2004). Group therapy for substance use disorders: What do we know? Harvard Review of Psychiatry, 12(6), 339–350.Google Scholar
Wells, K., Klap, R., Koike, A. & Sherbourne, C. (2001). Ethnic disparities in unmet need for alcoholism, drug abuse, and mental health care. American Journal of Psychiatry, 158(12), 2027–2032.Google Scholar
Wickizer, T., Maynard, C., Atherly, A., et al. (1994). Completion rates of clients discharged from drug and alcohol treatment programs in Washington State. American Journal of Public Health, 84(2), 215–221.Google Scholar
Yin, H. H. & Knowlton, B. J. (2006). Addiction and learning in the brain. In Wiers, R. W. & Stacy, A. W. (Eds.), Handbook of Implicit Cognition and Addiction. Thousand Oaks, CA: Sage Publications, pp. 167–183.Google Scholar
Zgierska, A., Rabago, D., Zuelsdorff, M., et al. (2008). Mindfulness meditation for alcohol relapse prevention: A feasibility pilot study. Journal of Addiction Medicine, 2(3), 165.Google Scholar

References

Acton, R. B. & Hammond, D. (2018). The impact of price and nutrition labelling on sugary drink purchases: results from an experimental marketplace study. Appetite, 121, 129–137.Google Scholar
Alberts, H. J. E. M., Thewissen, R. & Raes, L. (2012). Dealing with problematic eating behaviour. The effects of a mindfulness-based intervention on eating behaviour, food cravings, dichotomous thinking and body image concern. Appetite, 58(3), 847–851.CrossRefGoogle ScholarPubMed
Allom, V., Mullan, B. & Hagger, M. (2016). Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychology Review, 10(2), 168–186.Google Scholar
Arno, A. & Thomas, S. (2016). The efficacy of nudge theory strategies in influencing adult dietary behaviour: A systematic review and meta-analysis. BMC Public Health, 16, 676.Google Scholar
Apovian, C. M., Aronne, L., Rubino, D., et al. (2013). A randomized, phase 3 trial of naltrexone SR/bupropion SR on weight and obesity-related risk factors (COR-II). Obesity, 21(5), 935–943.Google Scholar
Avena, N. M., Murray, S. & Gold, M. S. (2013). The next generation of obesity treatments: Beyond suppressing appetite. Frontiers in Psychology, 4, 721.CrossRefGoogle ScholarPubMed
Balodis, I. M., Molina, N. D., Kober, H., et al. (2013). Divergent neural substrates of inhibitory control in binge eating disorder relative to other manifestations of obesity. Obesity, 21(2), 367–377.Google Scholar
Becker, D., Jostmann, N. B., Wiers, R. W. & Holland, R. W. (2015). Approach avoidance training in the eating domain: Testing the effectiveness across three single session studies. Appetite, 85, 58–65.Google Scholar
Bickel, W. K. & Marsch, L. A. (2001). Toward a behavioral economic understanding of drug dependence: Delay discounting processes. Addiction, 96(1), 73–86.Google Scholar
Bishop, S. R., Lau, M., Shapiro, S., et al. (2006). Mindfulness: A proposed operational definition. Clinical Psychology: Science and Practice, 11(3), 230–241.Google Scholar
Bonder, R., Davis, C., Kuk, J. L. & Loxton, N. J. (2018). Compulsive “grazing” and addictive tendencies towards food. European Eating Disorders Review, 26(6), 569–573.Google Scholar
Boutelle, K. N., Monreal, T., Strong, D. R. & Amir, N. (2016). An open trial evaluating an attention bias modification program for overweight adults who binge eat. Journal of Behavior Therapy and Experimental Psychiatry, 52, 138–146.Google Scholar
Brockmeyer, T., Hahn, C., Reetz, C., Schmidt, U. & Friederich, H.-C. (2015). Approach bias and cue reactivity towards food in people with high versus low levels of food craving. Appetite, 95, 197–202.Google Scholar
Broft, A. I., Spanos, A., Corwin, R. L., et al. (2007). Baclofen for binge eating: An open-label trial. International Journal of Eating Disorders, 40(8), 687–691.Google Scholar
Brownley, K. A., Peat, C. M., Via, M. L. & Bulik, C. M. (2015). Pharmacological approaches to the management of binge eating disorder. Drugs, 75(1), 9–32.Google Scholar
Carroll, M. E. & Smethells, J. R. (2016) Sex differences in behavioral dyscontrol: Role in drug addiction and novel treatments. Frontiers in Psychiatry, 6, article 175.Google Scholar
Carter, A., Hendrikse, J., Lee, N., et al. (2016). The neurobiology of “food addiction” and its implications for obesity treatment and policy. Annual Review of Nutrition, 36, 105–128.Google Scholar
Cassin, S. E. & von Ranson, K. M. (2007). Is binge eating experienced as an addiction? Appetite, 49, 687–690.Google Scholar
Chan, E. W., He, Y., Chui, C. S. L., et al. (2013). Efficacy and safety of lorcaserin in obese adults: A meta‐analysis of 1‐year randomized controlled trials (RCTs) and narrative review on short‐term RCTs. Obesity Reviews, 14(5), 383–392.Google Scholar
Chuang, C.-W. I., Sussman, S., Stone, M. D., et al. (2017). Impulsivity and history of behavioral addictions are associated with drug use in adolescents. Addictive Behaviors, 74, 41–47.Google Scholar
Citrome, L. (2015). Lisdexamfetamine for binge eating disorder in adults: A systematic review of the efficacy and safety profile for this newly approved indication – What is the number needed to treat, number needed to harm and likelihood to be helped or harmed? International Journal of Clinical Practice, 69(4), 410–421.Google Scholar
Conceição, E. M., Utzinger, L. M. & Pisetsky, E. M. (2015). Eating disorders and problematic eating behaviours before and after bariatric surgery: Characterization, assessment and association with treatment outcomes. European Eating Disorders Review, 23(6), 417–425.Google Scholar
Corwin, R. L., Boan, J., Peters, K. F. & Ulbrecht, J. S. (2012). Baclofen reduces binge eating in a double-blind, placebo-controlled, crossover study. Behavioural Pharmacology, 23(5–6), 616–625.Google Scholar
Czajkowski, S. M., Powell, L. H., Adler, N., et al. (2015). From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 34(10), 971–982.Google Scholar
Daniel, T. O., Stanton, C. M. & Epstein, L. H. (2013). The future is now: Reducing impulsivity and energy Intake using episodic future thinking. Psychological Science, 24(11), 2339–2342.Google Scholar
Davis, C. (2017). A commentary on the associations among 'food addiction', binge eating disorder, and obesity: Overlapping conditions with idiosyncratic clinical features. Appetite, 115, 3–8.CrossRefGoogle ScholarPubMed
Davis, C. (2013). Compulsive overeating as an addictive behavior: Overlap between food addiction and binge eating disorder. Current Obesity Reports, 2, 171–178.Google Scholar
Davis, C. (2014). Evolutionary and psychophysiological perspectives on addictive behaviors and addictive substances: Relevance to the ‘food addiction’ construct. Substance Abuse and Rehabilitation, 5, 129.Google Scholar
Davis, C. & Carter, J. C. (2014). If certain foods are addictive, how might this change the treatment of compulsive overeating and obesity? Current Addiction Reports, 1, 89–95.Google Scholar
Davis, C., Curtis, C., Levitan, R. D., et al. (2011). Evidence that food addiction is a valid phenotype of obesity. Appetite, 57(3), 711–717.Google Scholar
Dickson, H., Kavanagh, D. J. & MacLeod, C. (2016). The pulling power of chocolate: Effects of approach–avoidance training on approach bias and consumption. Appetite, 99, 46–51.Google Scholar
Duchesne, M., Mattos, P., Appolinário, J. C., et al. (2010). Assessment of executive functions in obese individuals with binge eating disorder. Revista Brasileira de Psiquiatria, 32(4), 381–388.Google Scholar
Eichenberg, C., Wolters, C. & Brahler, E. (2013). The internet as a mental health advisor in Germany – Results of a national survey. PLoS ONE, 11,e79206.Google Scholar
Fairburn, C. G., Cooper, Z., Doll, H. A., et al. (2009). Transdiagnostic cognitive-behavioral therapy for patients with eating disorders: A two-site trial with 60-week follow-up. American Journal of Psychiatry, 166(3), 311–319.Google Scholar
Field, M., Werthmann, J., Franken, I., et al. (2016). The role of attentional bias in obesity and addiction. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 35(8), 767–780.Google Scholar
Flint, A. J., Gearhardt, A. N., Corbin, W. R., et al. (2014). Food-addiction scale measurement in 2 cohorts of middle-aged and older women. The American Journal of Clinical Nutrition, 99(3), 578–586.Google Scholar
Forcano, L., Mata, F., de la Torre, R. & Verdejo-Garcia, A. (2018). Cognitive and neuromodulation strategies for unhealthy eating and obesity: Systematic review and discussion of neurocognitive mechanisms. Neuroscience & Biobehavioral Reviews, 87, 161–191.Google Scholar
Garber, A. K. & Lustig, R. H. (2011). Is fast food addictive? Current Drug Abuse Reviews, 4, 146–162.Google Scholar
Gearhardt, A., Davis, C., Kuschner, R. & Brownell, K. (2011a). The addiction potential of hyperpalatable foods. Current Drug Abuse Reviews, 4(3), 140–145.Google Scholar
Gearhardt, A., Grilo, C. M., DiLeone, R. J., Brownell, K. D. & Potenza, M. N. (2011b). Can food be addictive? Public health and policy implications. Addiction, 106(7), 1208–1212.Google Scholar
Gearhardt, A. N., White, M. A., Masheb, R. M., et al. (2012). An examination of the food addiction construct in obese patients with binge eating disorder. International Journal of Eating Disorders, 45, 657–663.Google Scholar
Gearhardt, A., Yokum, S., Orr, P. T., et al. (2011c). Neural correlates of food addiction. Archives of General Psychiatry, 68(8), 808–816.CrossRefGoogle ScholarPubMed
Giel, K. E., Teufel, M., Junne, F., Zipfel, S. & Schag, K. (2017). Food-related impulsivity in obesity and binge eating disorder: A systematic update of the evidence. Nutrients, 9(11), 1170.Google Scholar
Godfrey, K. M., Gallo, L. C. & Afari, N. (2015). Mindfulness-based interventions for binge eating: A systematic review and meta-analysis. Journal of Behavioral Medicine, 38(2), 348–362.Google Scholar
Grant, B. F., Dawson, D. A., Stinson, F. S., Chou, S. P. & Dufour, M. C. (2004). The 12-month prevalence and trends in DSM-IV alcohol abuse and dependence: United States 1991–1992 and 2001–2002. Drug and Alcohol Dependence, 74, 223–234.Google Scholar
Greenway, F. L., Fujioka, K., Plodkowski, R. A., et al. (2010). Effect of naltrexone plus bupropion on weight loss in overweight and obese adults (COR-I): A multicentre, randomised, double-blind, placebo-controlled, phase 3 trial. The Lancet, 376(9741), 595–605.Google Scholar
Grilo, C. M., Masheb, R. M., Wilson, G. T., Gueorguieva, R. & White, M. A. (2011). Cognitive-behavioral therapy, behavioral weight loss, and sequential treatment for obese patients with binge-eating disorder: a randomized controlled trial. Journal of Consulting and Clinical Psychology, 79(5), 675–685.Google Scholar
Hales, C. M., Carroll, M. D., Fryar, C. D. & Ogden, C. L. (2017). Prevalence of obesity among adults and youth: United States, 2015–2016. NCHS Data Brief , no. 288; DHHS publication; no. (PHS) 2018–1209.Google Scholar
Hammond, D., Reid, J. L. & Jones, A. C. (2018). Setting the record straight on taxation and disparities in smoking. Canadian Medical Association Journal, 190, E964.Google Scholar
Hardy, R., Fani, N., Jovanovic, T. & Michopoloulos, V. (2018). Food addiction and substance addiction in women: Common clinical characteristics. Appetite, 120, 367–373.Google Scholar
Hartmann-Boyce, J., Stead, L. F., Cahill, K. & Lancaster, T. (2014). Efficacy of interventions to combat tobacco addiction: Cochrane update of 2013 reviews. Addiction, 109, 1414–1425.Google Scholar
Heyman, G. M. (2009). Addiction: A Disorder of Choice. Cambridge, MA: Harvard University Press.Google Scholar
Higgs, S., Robinson, E. & Lee, M. (2012). Learning and memory processes and their role in eating: Implications for limiting food intake in overeaters. Current Obesity Reports, 1(2), 91–98.Google Scholar
Hill, E. M. (2013). Chapter 4—An evolutionary perspective on addiction. Principles of Addiction Volume 1. Cambridge, MA: Academic Press, pp. 41–50.Google Scholar
Hofmann, W., Rauch, W. & Gawronski, B. (2007). And deplete us not into temptation: Automatic attitudes, dietary restraint, and self-regulatory resources as determinants of eating behavior. Journal of Experimental Social Psychology, 43(3), 497–504.Google Scholar
Houben, K., Dassen, F. C. M. & Jansen, A. (2016). Taking control: Working memory training in overweight individuals increases self-regulation of food intake. Appetite, 105, 567–574.Google Scholar
Ivezaj, V., Wiedemann, A. A. & Grilo, C. M. (2017). Food addiction and bariatric surgery: a systematic review of the literature. Obesity Reviews, 18(12), 1386–1397.CrossRefGoogle ScholarPubMed
Jones, A., Di Lemma, L. C. G., Robinson, E., et al. (2016). Inhibitory control training for appetitive behaviour change: A meta-analytic investigation of mechanisms of action and moderators of effectiveness. Appetite, 97, 16–28.Google Scholar
Jones, A., Hardman, C. A., Lawrence, N. & Field, M. (2017). Cognitive training as a potential treatment for overweight and obesity: A critical review of the evidence. Appetite, 24(1), 50–67.Google Scholar
Juarascio, A. S., Manasse, S. M., Espel, H. M., Kerrigan, S. G. & Forman, E. M. (2015). Could training executive function improve treatment outcomes for eating disorders? Appetite, 90, 187–193.Google Scholar
Kabat-Zinn, J. & Hanh, T. N. (2009). Full Catastrophe Living: Using the Wisdom of Your Body and Mind to Face Stress, Pain, and Illness. New York: Random House LLC.Google Scholar
Kakoschke, N., Hawker, C., Castine, B., Courten, B. de & Verdejo‐Garcia, A. (2018). Smartphone-based cognitive bias modification training improves healthy food choice in obesity: A pilot study. European Eating Disorders Review, 26(5), 526–532.Google Scholar
Kakoschke, N., Kemps, E. & Tiggemann, M. (2017). Impulsivity moderates the effect of approach bias modification on healthy food consumption. Appetite, 117(1), 117–125.Google Scholar
Kampov-Polevoy, A., Lange, L., Bobashev, G., et al. (2004). Sweet-liking is associated with transformation of heavy drinking into alcohol-related problems in young adults with high novelty seeking. Alcoholism: Clinical and Experimental Research, 38, 2119–2126.Google Scholar
Katterman, S. N., Goldstein, S. P., Butryn, M. L., Forman, E. M. & Lowe, M. R. (2014). Efficacy of an acceptance-based behavioral intervention for weight gain prevention in young adult women. Journal of Contextual Behavioral Science, 3(1), 45–50.Google Scholar
Kemps, E. & Tiggemann, M. (2015). Approach bias for food cues in obese individuals. Psychology & Health, 30(3), 370–380.Google Scholar
Kemps, E., Tiggemann, M. & Elford, J. (2015). Sustained effects of attentional re-training on chocolate consumption. Journal of Behavior Therapy and Experimental Psychiatry, 49, 94–100.Google Scholar
Kramer, C. K., Leitao, C. B., Pinto, L. C., et al. (2011). Efficacy and safety of topiramate on weight loss: A meta-analysis of randomized controlled trials. Obesity Reviews, 12(5), e338–e347.Google Scholar
Kristeller, J. L. & Wolever, R. Q. (2010). Mindfulness-based eating awareness training for treating binge eating disorder: The conceptual foundation. Eating Disorders, 19(1), 49–61.Google Scholar
Kurti, A. N. & Dallery, J. (2012). Review of Heyman’s addiction: A disorder of choice. Journal of Applied Behavior Analysis, 45, 229–240.Google Scholar
Lacaille, J., Ly, J., Zacchia, N., et al. (2014). The effects of three mindfulness skills on chocolate cravings. Appetite, 76, 101–112.Google Scholar
Lavagnino, L., Arnone, D., Cao, B., Soares, J. C. & Selvaraj, S. (2016). Inhibitory control in obesity and binge eating disorder: A systematic review and meta-analysis of neurocognitive and neuroimaging studies. Neuroscience & Biobehavioral Reviews, 68, 714–726.Google Scholar
Leahey, T. M., Bond, D. S., Raynor, H., et al. (2012). Effects of bariatric surgery on food cravings: do food cravings and the consumption of craved foods “normalize” after surgery? Surgery for Obesity and Related Diseases: Official Journal of the American Society for Bariatric Surgery, 8(1), 84–91.Google Scholar
Leshner, A. I. (2001). Addiction is a brain disease. Issues in Science and Technology, 17, 75–80.Google Scholar
Logan, G. D., Schachar, R. J. & Tannock, R. (1997). Impulsivity and inhibitory control. Psychological Science, 8(1), 60–64.Google Scholar
Ludtke, T., Pult, L. K., Schroder, J., Moritz, S. & Bucke, L. (2018). A randomized controlled trial on a smartphone self-help application (Be Good to Yourself) to reduce depressive symptoms. Psychiatry Research, 269, 753–762.Google Scholar
Lustig, R. H. (2013). Frusctose: It’s “alcohol without the buzz”. Advances in Nutrition, 4, 226–235.Google Scholar
Lustig, R. H., Schmidt, L. A. & Brindis, C. D. (2012). Public health: The toxic truth about sugar. Nature, 482, 27–29.Google Scholar
Maher, L. & Dertadian, G. (2017). Qualitative research. Addiction, 113, 167–172.Google Scholar
Malenbaum, R., Herzog, D., Eisenthal, S. & Wyshak, G. (1988). Overeaters anonymous: Impact on bulimia. International Journal of Eating Disorders, 7(1), 139–143.Google Scholar
Malik, V. S., Willett, W. C. & Hu, F. B. (2009). Sugar-sweetened beverages and BMI in children and adolescents: Reanalyses of a meta-analysis. American Journal of Clinical Nutrition, 89, 438–439.Google Scholar
Manasse, S. M., Juarascio, A. S., Forman, E. M., et al. (2014). Executive functioning in overweight individuals with and without loss-of-control eating. European Eating Disorders Review, 22(5), 373–377.Google Scholar
Martin, A. A., Davidson, T. L. & McCrory, M. A. (2018). Deficits in episodic memory are related to uncontrolled eating in a sample of healthy adults. Appetite, 124, 33–42.Google Scholar
Martineau, F., Tyner, E., Lorenc, T., Petticrew, M. & Lock, K. (2013). Population-level interventions to reduce alcohol-related harm: An overview of systematic reviews. Preventive Medicine, 57(4), 278–296.Google Scholar
McElroy, S. L., Arnold, L. M., Shapira, N. A., et al. (2003). Topiramate in the treatment of binge eating disorder associated with obesity: A randomized, placebo-controlled trial. American Journal of Psychiatry, 160(2), 255–261.Google Scholar
McElroy, S. L., Hudson, J., Ferreira-Cornwell, M. C., et al. (2016). Lisdexamfetamine dimesylate for adults with moderate to severe binge eating disorder: Results of two pivotal phase 3 randomized controlled trials. Neuropsychopharmacology, 41(5), 1251.Google Scholar
McElroy, S. L., Hudson, J. I., Mitchell, J. E., et al. (2015). Efficacy and safety of lisdexamfetamine for treatment of adults with moderate to severe binge-eating disorder: A randomized clinical trial. JAMA Psychiatry, 72(3), 235–246.Google Scholar
McKenna, R. A., Skinner, J. A. & Burrows, T. L. (2018) Food addiction support: Website content analysis. JMIR Cardio, 2, e10.Google Scholar
Meadows, A., Nolan, L. J. & Higgs, S. (2017). Self-perceived food addiction: Prevalence, predictors, and prognosis. Appetite, 114, 282–298.Google Scholar
Micha, R., Karageorgou, D., Bakogianni, I., et al. (2018). Effectiveness of school food environment policies on children’s dietary behaviors: A systematic review and meta-analysis. PLoS ONE, March 29, journal.pone.0194555.Google Scholar
Monteiro, C. A., Cannon, G., Moubarac, J-C., et al. (2017). The UN decade of nutrition, the NOVA food classification and the trouble with ulta-processing. Public Health Nutrition, 21, 5–17.Google Scholar
Moodie, R., Stuckler, D., Monteiro, C., et al., (2013). Profits and pandemics: Prevention of harmful effects of tobacco, alcohol, and ultra-processed food and drink industries. The Lancet, 381, 509.Google Scholar
Murphy, C. M., Stojek, M. K. & MacKillop, J. (2014). Interrelationships among impulsive personality traits, food addiction, and body mass index. Appetite, 73, 45–50.Google Scholar
Nunes-Neto, P. R., Kohler, C. A., Schuch, F. B., et al. (2018). Food addiction: Prevalence, psychopathological correlates and associations with quality of life in a large sample. Journal of Psychiatric Research, 96, 145–152.Google Scholar
Pierce, M., Sutterland, A., Beraha, E. M., Morley, K. & van den Brink, W. (2018). Efficacy, tolerability, and safety of low-dose and high-dose baclofen in the treatment of alcohol dependence: A systematic review and meta-analysis. European Neuropsychopharmacology, 28(7), 795–806.Google Scholar
Popkin, B. M. (2010). Patterns of beverage consumption use across the lifecycle. Physiology & Behavior, 100, 4–9.Google Scholar
O’Callaghan, T. (2017). Sugar’s mortal enemy. New Scientist, 235, 42–43.Google Scholar
O’Neill, J., Daniel, T. O. & Epstein, L. H. (2016). Episodic future thinking reduces eating in a food court. Eating Behaviors, 20, 9–13.Google Scholar
Oomen, D., Grol, M., Spronk, D., Booth, C. & Fox, E. (2018). Beating uncontrolled eating: Training inhibitory control to reduce food intake and food cue sensitivity. Appetite, 131, 73–83.Google Scholar
Ouzir, M. & Errami, M. (2016). Etiological theories of addiction: A comprehensive update on neurobiological, genetic and behavioural vulnerability. Pharmacology, Biochemistry and Behavior, 148, 59–68.Google Scholar
Panksepp, J., Knutson, B. & Burdorf, J. (2002). The role of brain emotional systems in addictions: A neuro-evolutionary perspective and new ‘self-report’ animal model. Addiction, 97, 459–469.Google Scholar
Pedram, P., Wadden, D., Amini, P., et al. (2013). Food addiction: Its prevalence and significant association with obesity in the general population. PLoS ONE, 8, e74832.Google Scholar
Pelchat, M. L., Johnson, A., Chan, R., Valdez, J. & Ragland, J. D. (2004). Images of desire: Food-craving activation during fMRI. NeuroImage, 23(4), 1486–1493.Google Scholar
Pepino, M. Y., Bradley, D., Eagon, J. C., et al. (2014a). Changes in taste perception and eating behavior after bariatric surgery-induced weight loss in women. Obesity, 22(5), E13–E20.Google Scholar
Pepino, M. Y., Stein, R. I., Eagon, J. C. & Klein, S. (2014b). Bariatric surgery-induced weight loss causes remission of food addiction in extreme obesity. Obesity, 22(8), 1792–1798.Google Scholar
Primeaux, S. D., Silva, T. de, Tzeng, T. H., Chiang, M. C. & Hsia, D. S. (2016). Recent advances in the modification of taste and food preferences following bariatric surgery. Reviews in Endocrine and Metabolic Disorders, 17(2), 195–207.Google Scholar
Reas, D. L. & Grilo, C. M. (2015). Pharmacological treatment of binge eating disorder: update review and synthesis. Expert Opinion on Pharmacotherapy, 16(10), 1463–1478.Google Scholar
Rebello, C. J. & Greenway, F. L. (2016). Reward-induced eating: Therapeutic approaches to addressing food cravings. Advances in Therapy, 1–14.Google Scholar
Rebello, C. J., Nikonova, E. V., Zhou, S., et al. (2018). Effect of Lorcaserin alone and in combination with Phentermine on food cravings after 12‐week treatment: A randomized substudy. Obesity, 26(2), 332–339.CrossRefGoogle ScholarPubMed
Riediger, N. D. & Bombak, A. E. (2018) Sugar-sweetened beverages as the new tobacco: Examining a proposed policy through a Canadian social justice lens. Canadian Medical Association Journal, 190, E327–E330.Google Scholar
Robinson, S. M. & Adinoff, B. (2016). The classification of substance use disorders: Historical, contextual, and conceptual considerations. Behavioral Sciences, 6, 18.Google Scholar
Rogers, P. J. & Smit, H. J. (2000). Food craving and food “addiction”: A critical review of the evidence from a biopsychosocial perspective. Pharmacology Biochemistry and Behavior, 66(1), 3–14.Google Scholar
Ronel, N. & Libman, G. (2003). Eating Disorders and Recovery: Lessons from Overeaters Anonymous. Clinical Social Work Journal, 31(2), 155–171.Google Scholar
Rose, A. K. & Jones, A. (2018). Baclofen: Its effectiveness in reducing harmful drinking, craving, and negative mood. A meta-analysis. Addiction, 113(8), 1396–1406.Google Scholar
Rosettie, K. L., Micha, R., Cudhea, F., et al. (2018). Comparative risk assessment of school food environment policies and childhood diets, childhood obesity, and future cardiometabolic mortality in the United States. PLoS ONE, 13(7), e0200378.Google Scholar
Sanmiguel, C. P., Jacobs, J., Gupta, A., et al. (2017). Surgically induced changes in gut microbiome and hedonic eating as related to weight loss: Preliminary findings in obese women undergoing bariatric surgery. Psychosomatic Medicine, 79(8), 880.Google Scholar
Sassi, F., Belloni, A., Mirelman, A. J., et al. (2018). Equity impacts of price policies to promote healthy behaviours. The Lancet, 391, 2059–2070.Google Scholar
Schulte, E. M., Avena, N. M. & Gearhardt, A. N. (2015). Which foods may be addictive? The roles of processing, fat content, and glycemic load. PLoS ONE, 10(2), e0117959.Google Scholar
Schulte, E. M., Schiestl, E. T. & Gearhardt, A. N. (2020). Food versus eating addictions. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 340–352.Google Scholar
Schultes, B., Ernst, B., Wilms, B., Thurnheer, M. & Hallschmid, M. (2010). Hedonic hunger is increased in severely obese patients and is reduced after gastric bypass surgery. The American Journal of Clinical Nutrition, 92(2), 277–283.Google Scholar
Schumacher, S. E., Kemps, E. & Tiggemann, M. (2016). Bias modification training can alter approach bias and chocolate consumption. Appetite, 96, 219–224.Google Scholar
Sevinçer, G. M., Konuk, N., Bozkurt, S. & Coşkun, H. (2016). Food addiction and the outcome of bariatric surgery at 1-year: Prospective observational study. Psychiatry Research, 244, 159–164.Google Scholar
Shinn, A. K. & Greenfield, S. F. (2010). Topiramate in the treatment of substance related disorders: A critical review of the literature. The Journal of Clinical Psychiatry, 71(5), 634–648.Google Scholar
Siervo, M., Montagnesse, C., Mathers, J. C., et al. (2013). Sugar consumption and global prevalence of obesity and hypertension: An ecological analysis. Public Health Nutrition, 17, 587–596.Google Scholar
Smith, M. A., Greene-Naples, J. L., Felder, J. N., et al. (2009). The effects of repeated opioid administration on locomotor activity: II. Unidirectional cross-sensitization to cocaine. Journal of Pharmacology and Experimental Therapeutics, 330, 476.Google Scholar
Stice, E. & Yokum, S. (2016). Neural vulnerability factors that increase risk for future weight gain. Psychological Bulletin, 142(5), 447–471.Google Scholar
Stojek, M., Shank, L. M., Vannucci, A., et al. (2018). A systematic review of attentional biases in disorders involving binge eating. Appetite, 123, 367–389.CrossRefGoogle ScholarPubMed
Sussman, S. & Pakdaman, S. (2020). Appetitive needs and addiction. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions, Cambridge, UK: Cambridge University Press, pp. 3–12.Google Scholar
Svaldi, J., Naumann, E., Trentowska, M. & Schmitz, F. (2014). General and food-specific inhibitory deficits in binge eating disorder. International Journal of Eating Disorders, 47(5), 534–542.Google Scholar
Tang, D. W., Fellows, L. K., Small, D. M. & Dagher, A. (2012). Food and drug cues activate similar brain regions: A meta-analysis of functional MRI studies. Physiology & Behavior, 106(3), 317–324.Google Scholar
Turton, R., Bruidegom, K., Cardi, V., Hirsch, C. R. & Treasure, J. (2016). Novel methods to help develop healthier eating habits for eating and weight disorders: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews, 61, 132–155.Google Scholar
Vainik, U., Neseliler, S., Konstabel, K., Fellows, L. K. & Dagher, A. (2015). Eating traits questionnaires as a continuum of a single construct. Appetite, 90, 229–239.Google Scholar
Vartanian, L. R., Chen, W. H., Reily, N. M. & Castel, A. D. (2016). The parallel impact of episodic memory and episodic future thinking on food intake. Appetite, 101, 31–36.Google Scholar
Viner, R. M. & Cole, T. J. (2006). Who changes body mass between adolescence and adulthood? Factors predicting change in BMI between 16 year and 30 years in the 1970 British Birth Cohort. International Journal of Obesity, 30, 1368–1374.Google Scholar
Volkow, N. D., Koob, G. & McLellan, A. T. (2016). Neurobiologic advance from the brain disease model of addiction. The New England Journal of Medicine, 374, 363–371.Google Scholar
Volkow, N. D., Wise, R. A. & Baler, R. (2017). The dopamine motive system: Implications for drug and food addiction. Nature Reviews Neuroscience, 18, 741–752.Google Scholar
Vos, M. B., Kimmon, J. E., Gillespie, C., Welsh, J. & Blanck, H. M. (2008). Dietary frustose consumption among US children and adults: The Third National Health and Nutrition Examination Survey. Medscape Journal of Medicine, 10, 160.Google Scholar
Vreman, R. A., Goodell, A. J., Rodriguez, L. A., et al. (2017). Health and economic benefits of reducing sugar intake in the USA, including effects via non-alcoholic fatty liver disease: A microsimulation model. BMJ Open, 7, e013543.Google Scholar
Wagenaar, A. C., Salois, M. J. & Komro, K. A. (2009). Effects of beverage alcohol price and tax levels on drinking: A meta-analysis of 1003 estimates from 112 studies. Addiction, 104(2), 179–190.Google Scholar
Weafer, J., Mitchell, S. H. & de Wit, H. (2014). Recent translational findings on impulsivity in relation to drug abuse. Current Addiction Reports, 1, 289–300.Google Scholar
Weinstein, A., Zlatkes, M., Gingis, A. & Lejoyeux, M. (2015). The effects of a 12-Step self-help group for compulsive eating on measures of food addiction, anxiety, depression, and self-efficacy. Journal of Groups in Addiction & Recovery, 10(2), 190–200.Google Scholar
Werthmann, J., Jansen, A. & Roefs, A. (2015). Worry or craving? A selective review of evidence for food-related attention biases in obese individuals, eating-disorder patients, restrained eaters and healthy samples. Proceedings of the Nutrition Society, 74(2), 99–114.Google Scholar
Wiers, R. W., Gladwin, T. E., Hofmann, W., Salemink, E. & Ridderinkhof, K. R. (2013). Cognitive bias modification and cognitive control training in addiction and related psychopathology: Mechanisms, clinical perspectives, and ways forward. Clinical Psychological Science, 1(2), 192–212.Google Scholar
Wise, R. A. (2000). Addiction becomes a brain disease. Neuron, 26, 27–33.Google Scholar
Wu, M., Giel, K. E., Skunde, M., et al. (2013). Inhibitory control and decision making under risk in bulimia nervosa and binge-eating disorder. International Journal of Eating Disorders, 46(7), 721–728.Google Scholar
Yeary, J. (1987). The use of overeaters anonymous in the treatment of eating disorders. Journal of Psychoactive Drugs, 19(3), 303–309.Google Scholar
Yoshida, Y. & Simoes, E. J. (2018). Sugar-sweetened beverage, obesity, and type 2 diabetes in children and adolescents’ policies, taxation, and programs. Current Diabetes Reports, 18, 31.Google Scholar
Yu, Z., Indelicato, N. A., Fuglestad, P., Tan, M. & Bane, L. (2018) Sex differences in disordered eating and food addiction among college students. Appetite, 129, 12–18.Google Scholar
Zemore, S. E., Lui, C., Mericle, A., Hemberg, J. & Kaskutas, L. A. (2018). A longitudinal study of the comparative efficacy of Women for Sobriety, LifeRing, SMART Recovery, and 12-step groups for those with AUD. Journal of Substance Abuse Treatment, 88, 18–26.Google Scholar

References

Abbott, M. (2006). Do EGMs and problem gambling go together like a horse and carriage? Gambling Research, 18(1), 7–38.Google Scholar
Abbott, M., Binde, P., Hodgins, D., et al. (2013). Conceptual framework of harmful gambling: An international collaboration. Report to the Ontario Problem Gambling Research Centre (OPGRC). Guelph, Ontario.Google Scholar
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th edition). Washington, DC: American Psychiatric Association.Google Scholar
Argo, J. J. & Main, K. J. (2004). Meta-analyses of the effectiveness of warning labels. Journal of Public Policy & Marketing, 23(2), 193–208.Google Scholar
Ariyabuddhiphongs, V. (2013). Problem gambling prevention: Before, during, and after measures. International Journal of Mental Health and Addiction, 11(5), 568–582.Google Scholar
Auer, M. & Griffiths, M. D. (2012). Voluntary limit setting and player choice in most intense online gamblers: An empirical study of gambling behaviour. Journal of Gambling Studies, 29(4), 1–14.Google Scholar
Auer, M. & Griffiths, M. D. (2014). Personalised feedback in the promotion of responsible gambling: A brief overview. Responsible Gambling Review, 1(1), 27–36.Google Scholar
Bartley, C. A. & Bloch, M. H. (2013). Meta-analysis: Pharmacological treatment of pathological gambling. Expert Review of Neurotherapeutics, 13(8), 887–894.Google Scholar
Bernhard, B. J., Lucas, A. F. & Jang, D. S. (2006). Responsible gaming device research report. International Gaming Institute, University of Nevada, Las Vegas, pp. 1–56.Google Scholar
Billi, R., Stone, C. A., Marden, P. & Yeung, K. (2014). The Victorian Gambling Study: A Longitudinal Study of Gambling and Health in Victoria, 2008–2012. Victorian Responsible Gambling Foundation.Google Scholar
Binde, P. (2011). What are the most harmful forms of gambling? Analyzing problem gambling prevalence surveys (Center for Public Sector Research), CEFOS Working Paper no. 12. Retrieved from: www.utbildning.gu.se/digitalAssets/1327/1327132_cefos-wp12.pdf.Google Scholar
Blaszczynski, A. (2002). Harm minimization strategies in gambling: An overview of International initiatives and interventions. Report prepared for the Australian Gaming Council.Google Scholar
Blaszczynski, A. & Nower, L. (2002). A pathwaysmodelofproblem and pathological gambling. Addiction, 97(5), 487–499.Google Scholar
Blaszczynski, A. & Nower, L. (2014). Cognitive-behavioral therapy: Translating research in clinical practice. In Richard, D C., Blaszczynski, A. & Nower, L. (Eds.), The Wiley-Blackwell Handbook of Disordered Gambling. West Sussex, UK: John Wiley & Sons, pp. 204–224.Google Scholar
Blaszczynski, A., Ladouceur, R. & Nower, L. (2007). Self-exclusion: A proposed gateway to a treatment model. International Gambling Studies, 7(1), 59–71.Google Scholar
Blaszczynski, A., Ladouceur, R. & Shaffer, H. J. (2004). A science-based framework for responsible gambling: The Reno model. Journal of Gambling Studies, 20(3), 301–317.Google Scholar
Blaszczynski, A., Sharpe, L. & Walker, M. (2001). The assessment of the impact of the reconfiguration of electronic gambling machines as harm minimization strategies for problem gambling. Sydney: The University of Sydney Gambling Research Unit.Google Scholar
Blinn-Pike, L., Worthy, S. L. & Jonkman, J. N. (2010). Adolescent gambling: A review of an emerging field of research. Journal of Adolescent Health, 47(3), 223–236.Google Scholar
Bowden-Jones, H. & Prever, F. (2017). Gambling Disorders in Women: An International Perspective on Treatment and Research. New York: Routledge.Google Scholar
Brevers, D., Noel, X., Clark, L., et al. (2016). The impact of precommitment on risk-taking while gambling: A preliminary study. Journal of Behavioral Addictions, 5(1), 51–58.Google Scholar
Calado, F., Alexandre, J. & Griffiths, M. D. (2017). Prevalence of adolescent problem gambling: A systematic review of recent research. Journal of Gambling Studies, 33(2), 397–424.Google Scholar
Caler, K. R., Garcia, J. R.V. & Nower, L. (2017). Problem gambling among ethnic minorities: Results from an epidemiological study. Asian Journal of Gambling Issues and Public Health, 7(1), 7.Google Scholar
Campbell, C., Derevensky, J., Meerkamper, E. & Cutajar, J. (2011). Parents’ perceptions of adolescent gambling: A Canadian national study. Journal of Gambling Issues, 25, 36–53.Google Scholar
Caraniche Pty Ltd. (2005). Evaluation of electronic gaming machine harm minimization measures in Victoria. Victorian Government Department of Justice. Office of Gaming and Racing.Google Scholar
Castren, S., Temcheff, C., Derevensky, J., et al. (2017). Teacher awareness and attitudes regarding adolescent risk behaviours: A sample of Finnish Middle and High School teachers. International Journal of Mental Health & Addiction, 15(2), 295–311.Google Scholar
Chim, D. (2011). Gambling addiction in Asia: Need for a medical perspective? Asian Journal of Gambling Issues and Public Health, 2, 68–74.Google Scholar
Choi, S. W., Shin, Y. C., Kim, D. J., et al. (2017). Treatment modalities for patients with gambling disorder. Annals of General Psychiatry, 16(1), 23.Google Scholar
Collins, P. & Kelly, J. (2002). Problem gambling and self-exclusion: A report to the South African Responsible Gambling Trust. Gaming Law Review, 6(6), 517–531.Google Scholar
Cowlishaw, S. & Hakes, J. K. (2015). Pathological and problem gambling in substance use treatment: Results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). The American Journal on Addictions, 24(5), 467–474.Google Scholar
Cloutier, M., Ladouceur, R. & Sévigny, S. (2006). Responsible gambling tools: Pop-up messages and pauses on video lottery terminals. The Journal of Psychology, 140(5), 434–438.Google Scholar
Croucher, J. & Leslie, J. (2007).Self-exclusion programs for problem gamblers in Australia. Journal of the Academy of Business and Economics, 5, 61–66.Google Scholar
Davidson, T. & Rodgers, B. (2010). 2009 Survey of the nature and extent of gambling, and problem gambling, in the Australian Capital Territory.Google Scholar
Delfabbro, P. (2004). The stubborn logic of regular gamblers: Obstacles and dilemmas in cognitive gambling research. Journal of Gambling Studies, 20(1), 1–21.Google Scholar
Delfabbro, P., Borgas, M. & King, D. (2012). Venue staff knowledge of their patrons’ gambling and problem gambling. Journal of Gambling Studies, 28, 155–169.Google Scholar
Delfabbro, P., Osborne, A., Nevile, M., Skelt, L. & McMillen, J. (2007). Identifying problem gamblers in gambling venues. Final report prepared for Gambling Research Australia.Google Scholar
Derevensky, J. (2012). Teen Gambling: Understanding a Growing Epidemic. New York: Rowman & Littlefield Publishing.Google Scholar
Derevensky, J. (2017). Annual Treatment Report for Problem Gambling in Florida. Report prepared for the Florida Council on Compulsive Gambling, 27 pages.Google Scholar
Derevensky, J. & Gilbeau, L. (2017). Adolescent gambling: Another risky behavior. In Evans, D L., Foa, E.B., Gur, R.E., et al. (Eds.) Treating and Preventing Adolescent Mental Health Disorders: What We Know and What We Don’t Know. A Research Agenda for Improving the Mental Health of our Youth (2nd edition). New York: Oxford University Press, pp. 571–584.Google Scholar
Derevensky, J. & Gilbeau, L. (2019). Preventing adolescent gambling problems. In Heinz, A., Romanczuk-Seiferth, N. & Potenza, M. (Eds.), Gambling Disorders. Berlin: Springer International, pp. 297–311.Google Scholar
Derevensky, J. & Gupta, R. (2011). Youth gambling prevention initiatives: A decade of research. In Derevensky, J., Shek, D. & Merrick, J. (Eds.), Youth Gambling Problems: The Hidden Addiction. Berlin: De Gruyter, pp. 213–230.Google Scholar
Derevensky, J., St-Pierre, R., Walker, D. & Gupta, R. (2013). Availability and accessibility of gambling venues: An examination of the literature concerning: How these impact problem gambling. Final report to Mise Sur Toi, 42 pages.Google Scholar
Dickerson, M. G., Cunningham, R., Legg England, S. & Hinchey, J. (1991). On the determinants of persistent gambling behaviour III: Personality prior mood and poker machine playing. International Journal of Addictions, 26, 531–548.Google Scholar
Dickson, L., Derevensky, J. & Gupta, R. (2004). Youth gambling problems: A harm reduction prevention model. Addiction Research & Theory, 12, 305–316.Google Scholar
Dowling, N. A., Cowlishaw, S., Jackson, A. C., et al. (2015). The prevalence of comorbid personality disorders in treatment-seeking problem gamblers: A systematic review and meta-analysis. Journal of Personality Disorders, 29(6), 735–754.Google Scholar
Dowling, N., Smith, D. & Thomas, T. (2005). Electronic gaming machines: Are they the ‘crack‐cocaine’ of gambling? Addiction, 100(1), 33–45.Google Scholar
Ferentzy, P., Skinner, W. & Antze, P. (2014). Understanding Gamblers Anonymous – A practitioner's guide. In Richard, D. C., Blaszczynski, A. & Nower, L. (Eds.), The Wiley‐Blackwell Handbook of Disordered Gambling. West Sussex, UK: John Wiley & Sons, pp. 251–262.Google Scholar
Focal Research (2002). Atlantic Lottery Corporation video lottery responsible gaming feature research. Final report. Nova Scotia: Focal Research Consultants Ltd.Google Scholar
Gainsbury, S. (2012). Internet Gambling: Current Research Findings and Implications. New York: Springer.Google Scholar
Gainsbury, S. (2014). Internet gaming and disordered gambling. In Richard, D. C., Blaszczynski, A. and Nower, L. (Eds.), The Wiley‐Blackwell Handbook of Disordered Gambling. West Sussex, UK: John Wiley & Sons, pp. 361–385.Google Scholar
Gainsbury, S. & Blaszczynski, A. (2012). Harm minimization: Gambling. In Pates, R. & Riley, D. (Eds.), Harm Reduction in Substance Use and High Risk Behaviour. Oxford: Wiley-Blackwell.Google Scholar
Gainsbury, S. & Wood, R. (2011). Internet gambling policy in critical comparative perspective: The effectiveness of existing regulatory frameworks. International Gambling Studies, 11(3), 309–323.Google Scholar
Gainsbury, S. M., Blankers, M., Wilkinson, C., Schelleman-Offermans, K. & Cousijn, J. (2014a). Recommendations for international gambling harm-minimisation guidelines: Comparison with effective public health policy. Journal of Gambling Studies, 30(4), 771–788.Google Scholar
Gainsbury, S. M., Russell, A., Hing, N., et al. (2014b). The prevalence and determinants of problem gambling in Australia: Assessing the impact of interactive gambling and new technologies. Psychology of Addictive Behaviors, 28(3), 769.Google Scholar
Grant, J. E., Donahue, C. B., Odlaug, B. L., et al. (2009). Imaginal desensitisation plus motivational interviewing for pathological gambling: Randomised controlled trial. The British Journal of Psychiatry, 195(3), 266–267.Google Scholar
Grant, J. E., Levine, L., Kim, D. & Potenza, M. N. (2005). Impulse control disorders in adult psychiatric inpatients. American Journal of Psychiatry, 162(11), 2184–2188.Google Scholar
Griffiths, M. (1990). Addiction of fruit machines: A preliminary study among males. Journal of Gambling Studies, 6, 113–126.Google Scholar
Griffiths, M. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies, 9(2), 101–120.Google Scholar
Griffiths, M. (1999). Gambling technologies: Prospects for problem gambling. Journal of Gambling Studies, 15(3), 265–283.Google Scholar
Griffiths, M. (2013). Behavioral tracking in gambling: New empirical data and the development of a new social responsibility tool. Presentation at the Discovery Conference, Toronto, April.Google Scholar
Griffiths, M. D. (2020). Feedback models for gambling control: The use and efficacy of online responsible gambling tools. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 333–340Google Scholar
Griffiths, M., Parke, J. & Derevensky, J. (2012). Structural and situational characteristics in slot machine gambling. Report prepared for Assissa Consultancy.Google Scholar
Gupta, R. & Derevensky, J. (2008). A treatment approach for adolescents with gambling problems. In Zangeneh, M., Blaszczynski, A. & Turner, N. (Eds.), In the Pursuit of Winning: Problem Gambling Theory, Research and Treatment. New York: Springer Books, pp. 271–290.Google Scholar
Hancock, L., Schellinck, T. & Schrans, T. (2008). Gambling and corporate social responsibility (CSR): Re-defining industry and state roles on duty of care, host responsibility and risk management. Policy and Society, 27(1), 55–68.Google Scholar
Hardoon, K., Derevensky, J. & Gupta, R. (2003). Empirical measures vs. perceived gambling severity among youth: Why adolescent problem gamblers fail to seek treatment. Addictive Behaviors, 28(5), 933–946.Google Scholar
Harris, A. & Griffiths, M. D. (2017). A critical review of the harm-minimisation tools available for electronic gambling. Journal of Gambling Studies, 33(1), 187–221.Google Scholar
Hayer, T., Kalke, J., Buth, S. & Meyer, G. (2013). Die Früherkennung von Problemspielerinnen und Problemspielern in Spielhallen: Entwicklung und Validierung eines Screening-Instrumentes Abschlussbericht an die Behörde für Gesundheit und Verbraucherschutz, Hamburg. Bremen.Google Scholar
Helfinstein, S. M., Schonberg, T., Congdon, E., et al. (2014). Predicting risky choices from brain activity patterns. Proceedings of the National Academy of Sciences, 111(7), 2470–2475.Google Scholar
Himelhoch, S. S., Miles-McLean, H., Medoff, D., et al. (2016). Twelve-Month Prevalence of DSM-5 gambling disorder and associated gambling behaviors among those receiving methadone maintenance. Journal of Gambling Studies, 32(1), 1–10.Google Scholar
Hodgins, D. C., Ching, L. E. & McEwen, J. (2009). Strength of commitment language in motivational interviewing and gambling outcomes. Psychology of Addictive Behaviors, 23(1), 122–130.Google Scholar
Hodgins, D. C., Stea, J. N. & Grant, J. E. (2011). Gambling disorders. The Lancet, 378(9806), 1874–1884.Google Scholar
Hing, N. (2003). An assessment of member awareness, perceived adequacy and perceived effectiveness of responsible gambling strategies in Sydney clubs. Retrieved from www.dgr.nsw.gov.au.Google Scholar
Johansson, A., Grant, J., Kim, S., Odlaug, B. & Götestam, K. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies, 25(1), 67–92.Google Scholar
Kessler, R., Hwang, I., LaBrie, R., et al. (2008). DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychological Medicine, 38(9), 1351–1360.Google Scholar
Kim, H. S., Wohl, M. J., Stewart, M. J., Sztainert, T. & Gainsbury, S. M. (2014). Limit your time, gamble responsibly: Setting a time limit (via pop-up message) on an electronic gaming machine reduces time on device. International Gambling Studies, 14, 266–278.Google Scholar
Ladouceur, R. (2005). Controlled gambling for pathological gamblers. Journal of Gambling Studies, 21, 49–57.Google Scholar
Ladouceur, R. & Sévigny, S. (2006). The impact of video lottery game speed on gamblers. Journal of Gambling Issues, 17. doi:10.4309/jgi.2006.17.12Google Scholar
Ladouceur, R. & Sévigny, S. (2009). Electronic gambling machines: Influence of a clock, a cash display, and a pre-commitment on gambling time. Journal of Gambling Issues, 23, 31–41.Google Scholar
Ladouceur, R., Blaszczynski, A. & Lalande, D. R. (2012). Pre-commitment in gambling: A review of the empirical evidence. International Gambling Studies, 12(2), 215–230.Google Scholar
Ladouceur, R., Blaszczynski, A., Shaffer, H. J. & Fong, D. (2016). Extending the Reno model: Responsible gambling evaluation guidelines for gambling operators, public policymakers, and regulators. Gaming Law Review and Economics, 20(7), 580–586.Google Scholar
Ladouceur, R., Goulet, A. & Vitaro, F. (2013). Prevention programs for youth gambling: A review of the empirical evidence. International Gambling Studies, 13(2), 141–159.Google Scholar
Ladouceur, R., Jacques, C., Giroux, I., Ferland, F. & Leblond, J. (2000). Brief communications: Analysis of a casino's self-exclusion program. Journal of Gambling Studies, 16(4), 453–460.Google Scholar
Ladouceur, R., Sylvain, C., Letarte, H., Giroux, I. & Jacques, C. (1998). Cognitive treatment for pathological gamblers. Behavior Research and Therapy, 36, 1111–1119.Google Scholar
Loba, P., Stewart, S., Klein, R. & Blackburn, J. (2001). Manipulations of the features of standard video lottery terminal (VLT) games: Effects in pathological and non-pathological gamblers. Journal of Gambling Studies, 17(4), 297–320.Google Scholar
Loo, J. M. Y., Raylu, N. & Oei, T. P. S. (2008). Gambling among the Chinese: A comprehensive review. Clinical Psychology Review, 28, 1152–1166.Google Scholar
Lorains, F. K., Cowlishaw, S. & Thomas, S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction, 106(3), 490–498.Google Scholar
Lupi, M., Martinotti, G., Acciavatti, T., et al. (2014). Pharmacological treatments in gambling disorder: A qualitative review. BioMed Research International, 2014, 1–7.Google Scholar
Marchica, L. & Derevensky, J. (2016). Fantasy sports: A growing concern among college student-athletes. International Journal of Mental Health & Addiction, 14, 635–645.Google Scholar
McConaghy, N. (1988). Assessment and management of pathological gambling. British Journal of Hospital Medicine, 40, 131–134.Google Scholar
McMillen, J. & Pitt, S. (2005). Review of the ACT Government’s Harm Minimization Measures. Canberra: Australian Centre for Gambling Research.Google Scholar
Meyer, G. & Bachmann, M. (2011). Spielsucht. Ursachen, Therapie und Prävention von glücksspielbezogenem Suchtverhalten. Heidelberg.Google Scholar
Meyer, G. & Hayer, T. (2010). Problematisches und pathologisches Spielverhalten bei Glücksspielen. Epidemiologie und Prävention. Bundesgesundheitsblatt, 5, 295–305.Google Scholar
Meyer, G., Hayer, T. & Griffiths, M. (Eds.) (2009). Problem Gambling in Europe: Challenges, Prevention, and Interventions. New York: Springer Science & Business Media.Google Scholar
Miller, W. & Rollick, S. (2002). Motivational Interviewing: Preparing People for Change. New York: Guilford Press.Google Scholar
Monaghan, S. & Blaszczynski, A. (2010). Electronic gaming machine warning messages: Information versus self-evaluation. Journal of Psychology, 144(1), 83–96.Google Scholar
Monaghan, S., Blaszczynski, A. & Nower, L. (2009). Do warning signs on electronic gaming machines influence irrational cognitions? Psychological Reports, 105(1), 173–187.Google Scholar
Neighbors, C., Rodriguez, L. M., Rinker, D. V., et al. (2013). Efficacy of personalized normative feedback as a brief intervention for college student gambling: A randomized controlled trial. Paper presented at the National Center for Responsible Gaming annual conference, Las Vegas.Google Scholar
Nowak, D. (2018). A meta-analytical synthesis and examination of pathological and problem gambling rates and associated moderators among college students, 1987–2016. Journal of Gambling Studies, 34, 465–498.Google Scholar
O’Neill, K. (2017). Motivational Interviewing for problem gambling. In McIntosh, C. & O’Neill, K. (Eds.) Evidence-Based Treatments for Problem Gambling. Cham, Switzerland: Springer, pp. 19–25.Google Scholar
Parke, J. & Griffiths, M. (2007).The role of structural characteristics in gambling. In. Smith, G., Hodgins, D. C. & Williams, R. J. (Eds.), Research and Measurement Issues in Gambling Studies. Amsterdam: Elsevier.Google Scholar
Parke, J. & Parke, A. (2013). Does size really matter? A review of the role of stake and prize levels in relation to gambling-related harm. The Journal of Gambling Business and Economics, 7(3), 77–110.Google Scholar
Petry, N. (2005). Pathological Gambling: Etiology, Comorbidity, and Treatment. Washington, DC: American Psychiatric Publishing.Google Scholar
Petry, N. M., Stinson, F. S. & Grant, B. F. (2005). Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. The Journal of Clinical Psychiatry, 66(5), 564–574.Google Scholar
Potenza, M., Balodis, I., Derevensky, J., et al. (2019). Gambling disorder. Nature Reviews Disease Primers, 5(1), 51.Google Scholar
Productivity Commission (1999). Gambling Productivity Commission Inquiry Report. Australian Government.Google Scholar
Productivity Commission (2010). Gambling Productivity Commission Inquiry Report. Australian Government.Google Scholar
Rash, C. J. & Petry, N. M. (2014). Psychological treatments for gambling disorder. Psychology Research and Behavior Management, 7, 285–295.Google Scholar
Raylu, N. & Oei, T. (2002). Pathological gambling: A comprehensive review. Clinical Psychology Review, 22(7), 1009–1061.Google Scholar
Raylu, N. & Oei, T. (2004). Role of culture in gambling and problem gambling. Clinical Psychology Review, 23(8), 1087–1114.Google Scholar
Richard, D. C., Blaszczynski, A. & Nower, L. (Eds.) (2014). The Wiley-Blackwell Handbook of Disordered Gambling. John Wiley & Sons.Google Scholar
Robillard, C. (2017). Responsible Gambling Programs and Tools. Report prepared for Gambling Research Exchange Ontario (GREO).Google Scholar
Romild, U., Volberg, R. & Abbott, M. (2014). The Swedish Longitudinal Gambling Study (Swelogs): Design and methods of the epidemiological (EP) track. International Journal of Methods in Psychiatric Research, 23(3), 372–386.Google Scholar
Sansanwal, R. M., Derevensky, J. & Gavriel-Fried, B. (2016). What mental health professionals in Israel know and think about adolescent problem gambling. International Gambling Studies, 16, 67–84.Google Scholar
Sansanwal, R. M., Derevensky, J., Lupu, I. R. & Lupu, V. (2015). Knowledge and attitudes regarding adolescent problem gambling: A cross-cultural comparative analysis of Romanian and Canadian teachers. International Journal of Mental Health and Addiction, 13, 33–48.Google Scholar
Schellinck, T. & Schrans, T. (2007). VLT player tracking system: Nova Scotia Gaming Corporation Responsible Gaming Research device project. Nova Scotia, Canada: Focal Research, 104 pages.Google Scholar
Schellinck, T. & Schrans, T. (2011). Intelligent design: How to model gambler risk assessment by using loyalty tracking data. Journal of Gambling Issues, 26, 51–68.Google Scholar
Schottler Consulting (2009). Impact of changes to EGM characteristics on play behaviour of recreational gamblers. Report prepared for the Department of Justice (Victoria).Google Scholar
Schottler Consulting (2010). Major findings and implications: Player tracking and pre-commitment trial. A program and outcome evaluation of the PlaySmart pre-commitment system. Brisbane, Australia.Google Scholar
Schull, N. (2014). Addiction by Design: Machine Gambling in Las Vegas. New Jersey: Princeton University Press.Google Scholar
Schwartz, D. G. (2006). Roll the Bones: The History of Gambling. New York: Gotham Books.Google Scholar
Shaffer, H. J., Ladouceur, R., Blaszczynski, A. & Whyte, K. (2016). Extending the RENO model: Clinical and ethical applications. American Journal of Orthopsychiatry, 86(3), 297.Google Scholar
Slutske, W. S. (2006). Natural recovery and treatment-seeking in pathological gambling: Results of two U.S. national surveys. American Journal of Psychiatry, 163, 297–302.Google Scholar
Stewart, M. J. & Wohl, M. (2013). Pop-up messages, dissociation, and craving: How monetary limit reminders facilitate adherence in a session of slot machine gambling. Psychology of Addictive Behaviors, 27(1), 268–273.Google Scholar
Temcheff, C., Derevensky, J., St-Pierre, R, Gupta, R. & Martin, I. (2014). Beliefs and attitudes of mental health professionals with respect to gambling and other high risk behaviors in schools. International Journal of Mental Health and Addiction, 12, 716–729.Google Scholar
Thomas, A., Pfeifer, J., Moore, S., et al. (2013). Evaluation of the removal of ATMs from gaming venues in Victoria, Australia. Final Report to the Department of Justice, Victoria, Australia.Google Scholar
Toyama, T., Nakayama, H., Takimura, T., et al. (2014). SY17-4 prevalence of pathological gambling in Japan: Results of national surveys of the general adult population in 2008 and 2013. Alcohol and Alcoholism, 49(Issue Supplement 1), i17.Google Scholar
Tse, S., Yu, A., Rossen, F. & Wang, C.-W. (2010). Examination of Chinese gambling problems through a socio-historical-cultural perspective. The Scientific World Journal, 10, 1694–1704.Google Scholar
Turner, N. E., Macdonald, J. & Somerset, M. (2008). Life skills, mathematical reasoning and critical thinking: A curriculum for the prevention of problem gambling. Journal of Gambling Studies, 24(3), 367–380.Google Scholar
Volberg, R. A. (2004). Fifteen years of prevalence research: What do we know? Where do we go? Journal of Gambling Issues, 10, 1–19.Google Scholar
Volberg, R. (2007). Population surveys. In Smith, G., Hodgins, D. & Williams, R. (Eds). Research and Measurement Issues in Gambling Studies. Burlington, MA: Elsevier, pp. 33–55.Google Scholar
Volberg, R. A., Gupta, R., Griffiths, M. D., Olason, D. T. & Delfabbro, P. (2010). An international perspective on youth gambling prevalence studies. International Journal of Adolescent Medicine and Health, 22(1), 3–38.Google Scholar
Wardle, H. & Dobbie, F. (2011). Betfair self-exclusion project: Understanding the profile of self-excluders. Report prepared for Betfair.Google Scholar
Wardle, H., Keily, R., Astbury, G. & Reith, G. (2014). ‘Risky places?’: Mapping gambling machine density and socio-economic deprivation. Journal of Gambling Studies, 30(1), 201–212.Google Scholar
Welte, J. W., Wieczorek, W. F., Barnes, G. M. & Tidwell, M. C. (2006). Multiple risk factors for frequent and problem gambling: Individual, social ecological. Journal of Applied Social Psychology, 36, 1548–1568.Google Scholar
White, M., Mun, P., Kauffman, N., et al. (2006). Electronic gaming machines and problem gambling. Report prepared for the Saskatchewan Liquor and Gaming Authority by the Responsible Gambling Council.Google Scholar
Williams, R. J., Hann, R. G., Schopflocher, D. P., et al. (2015). Quinte Longitudinal Study of Gambling and Problem Gambling. Ontario Problem Gambling Research Centre.Google Scholar
Williams, R., West, B. & Simpson, R. (2007). Prevention of problem gambling: A comprehensive review of the evidence. Report prepared for the Ontario Problem Gambling Research Centre, Guelph, Ontario.Google Scholar
Williams, R. J., West, B. L. & Simpson, R. I. (2012). Prevention of Problem Gambling: A Comprehensive Review of the Evidence, and Identified Best Practices. Report prepared for the Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care.Google Scholar
Wohl, M., Christie, K., Matheson, K. & Anisman, H. (2010). Animation-based education as a gambling prevention tool: Correcting erroneous cognitions and reducing the frequency of exceeding limits among slots players. Journal of Gambling Studies, 26(3), 469–486.Google Scholar
Wood, R. & Williams, R. (2007). Problem gambling on the internet: Implications for internet gambling policy in North America. New Media & Society, 9(3), 520–542.Google Scholar
Wood, R. T., Shorter, G. W. & Griffiths, M. D. (2014a). Selecting the right responsible gambling features, according to the specific portfolio of games. Responsible Gambling Review, 1(1), 51–63.Google Scholar
Wood, R. T., Shorter, G. W. & Griffiths, M. D. (2014b). Rating the suitability of responsible gambling features for specific game types: A resource for optimizing responsible gambling strategy. International Journal of Mental Health and Addiction, 12(1), 94–112.Google Scholar
Yakovenko, I. & Hodgins, D. C. (2018). A scoping review of co-morbidity in individuals with disordered gambling. International Gambling Studies, 18(1), 143–172.Google Scholar
Yakovenko, I., Quigley, L., Hemmelgarn, B. R., Hodgins, D. C. & Ronksley, P. (2015). The efficacy of motivational interviewing for disordered gambling: Systematic review and meta-analysis. Addictive Behaviors, 43, 72-82.Google Scholar
Yip, S. W. & Potenza, M. N. (2014). Treatment of gambling disorders. Current Treatment Options in Psychiatry, 1(2), 189–203.Google Scholar

References

Blum, A. W. & Grant, J. E. (2020). Considering the overlap and nonoverlap of compulsivity, impulsivity, and addiction. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 373–386.Google Scholar
Brem, M. J., Shorey, R. C., Anderson, S. & Stuart, G. L. (2017). Dispositional mindfulness, shame, and compulsive sexual behaviors among men in residential treatment for substance use disorders. Mindfulness, 8(6), 1552–1558.Google Scholar
Carnes, P. (2001). Out of the Shadows: Understanding Sexual Addiction. Center City, MN: Hazelden Publishing.Google Scholar
Carnes, P., Green, B. & Carnes, S. (2010). The same yet different: Refocusing the Sexual Addiction Screening Test (SAST) to reflect orientation and gender. Sexual Addiction & Compulsivity, 17(1), 7–30.Google Scholar
Carnes, P. J., Green, B. A., Merlo, L. J., et al. (2012). PATHOS: A brief screening application for assessing sexual addiction. Journal of Addiction Medicine, 6(1), 29–34.Google Scholar
Carvalho, J., Štulhofer, A., Vieira, A. L. & Jurin, T. (2015). Hypersexuality and high sexual desire: Exploring the structure of problematic sexuality. The Journal of Sexual Medicine, 12(6), 1356–1367.Google Scholar
Coleman, E. (1992). Is your patient suffering from compulsive sexual behavior? Psychiatric Annals, 22(6), 320–325.Google Scholar
Crosby, J. M. & Twohig, M. P. (2016). Acceptance and commitment therapy for problematic internet pornography use: A randomized trial. Behavior Therapy, 47(3), 355–366.Google Scholar
Dickenson, J. A., Gleason, N., Coleman, E. & Miner, M. H. (2018). Prevalence of distress associated with difficulty controlling sexual urges, feelings, and behaviors in the United States. JAMA Network Open, 1(7), e184468.Google Scholar
Efrati, Y. & Gola, M. (2019). The effect of early life trauma on compulsive sexual behavior among members of a 12-step group. Journal of Sexual Medicine, 16(6), 803–811.Google Scholar
Engel, J., Veit, M., Sinke, C., et al. (2019). Same but different: A clinical characterization of men with hypersexual disorder in the sex@brain-study. Journal of Clinical Medicine, 8(2), e157.Google Scholar
Gilliland, R., Blue, S. J., Hansen, B. & Carpenter, B. (2015). Relationship attachment styles in a sample of hypersexual patients. Journal of Sex and Marital Therapy, 41(6), 581–592.Google Scholar
Gola, M. & Potenza, M. (2016). Paroxetine treatment of problematic pornography use: A case series. Journal of Behavioral Addictions, 5(3), 529–532.Google Scholar
Gola, M., Wordecha, M., Sescousse, G., et al. (2017). Can pornography be addictive? An fMRI study of men seeking treatment for problematic pornography use. Neuropsychopharmacology, 10, 2021–2031.Google Scholar
Grubbs, J. B., Perry, S. L., Wilt, J. A. & Reid, R. C. (2019). Pornography problems due to moral incongruence: An integrative model with a systematic review and meta-analysis. Archives of Sexual Behavior, 48(2), 397–415.Google Scholar
Hallberg, J., Kaldo, V., Arver, S., Dhejne, C. & Öberg, K. G. (2017). A cognitive-behavioral therapy group intervention for hypersexual disorder: A feasibility study. Journal of Sexual Medicine, 14(7), 950–958.Google Scholar
Hook, J. N., Hook, J. P., Davis, D. E., Worthington, E. L. Jr. & Penberthy, J. K. (2010). Measuring sexual addiction and compulsivity: A critical review of instruments. Journal of Sex and Marital Therapy, 36, 227–260.Google Scholar
Hook, J. N., Reid, R. C., Penberthy, J. K., David, D. E. & Jennings, D. J. (2014). Methodological review of treatments for nonparaphilic hypersexual behavior. Journal of Sex & Marital Therapy, 40(4), 294–308.Google Scholar
Kafka, M. P. (2010). Hypersexual Disorder: A proposed diagnosis for DSM-V. Archives of Sexual Behavior, 39(2), 377–400.Google Scholar
Kafka, M. P. (2014). What happened to hypersexual disorder? Archives of Sexual Behavior, 43(7), 1259–1261.Google Scholar
Kalichman, S. C. & Rompa, D. (1995). Sexual sensation seeking and sexual compulsivity scales: Reliability, validity, and predicting HIV risk behavior. Journal of Personality Assessment, 65, 586–601.Google Scholar
Kingston, D. A. (2015). Debating the conceptualization of sex as an addictive disorder. Current Addiction Reports, 2, 195–201.Google Scholar
Klein, V., Rettenberger, M. & Briken, P. (2014). Self-reported indicators of hypersexuality and its correlates in a female online sample. Journal of Sexual Medicine, 11(8), 1974–1981.Google Scholar
Kor, A., Fogel, Y. A., Reid, R. C. & Potenza, M. N. (2013). Should hypersexual disorder be classified as an addiction? Sexual Addiction & Compulsivity, 20, 27–47.Google Scholar
Krafft-Ebing, R. (1886/1965). Psychopathia sexualis, translated by Rebman, F. J. New York, NY: Physicians and Surgeons Book, p. 927.Google Scholar
Kraus, S. & Rosenberg, H. (2014). The Pornography Craving Questionnaire: Psychometric properties. Archives of Sexual Behavior, 43(3), 451–462.Google Scholar
Kraus, S. W., Krueger, R. B., Briken, P., et al. (2018). Compulsive sexual behaviour disorder in the ICD-11. World Psychiatry, 17(1), 109–110.Google Scholar
Kraus, S. W., Meshberg-Cohen, S., Martino, S., Quinones, L. J. & Potenza, M. N. (2015a). Treatment of compulsive pornography use with naltrexone: A case report. American Journal of Psychiatry, 172(12), 1260–1261.Google Scholar
Kraus, S. W., Potenza, M. N., Martino, S. & Grant, J. E. (2015b). Examining the psychometric properties of the Yale–Brown Obsessive–Compulsive Scale in a sample of compulsive pornography users. Comprehensive Psychiatry, 59, 117–122.Google Scholar
Kraus, S. W., Voon, V. & Potenza, M. N. (2016). Should compulsive sexual behavior be considered an addiction? Addiction, 111(12), 2097–2106.Google Scholar
Krueger, R. B. (2016). Diagnosis of hypersexual or compulsive sexual behavior can be made using ICD-10 and DSM-5 despite rejection of this diagnosis by the American Psychiatric Association. Addiction, 111, 2110–2111.Google Scholar
Kuzma, J. M. & Black, D. W. (2008). Epidemiology, prevalence, and natural history of compulsive sexual behavior. Psychiatric Clinics of North America, 31(4), 603–611.Google Scholar
Langstrom, N. & Hanson, R. K. (2006). Population correlates are relevant to understanding hypersexuality: A response to Giles. Archive of Sexual Behavior, 35, 643–644.Google Scholar
Larsen, S. E. (2019). Hypersexual behavior as a symptom of PTSD: Using cognitive processing therapy in a veteran with military sexual trauma-related PTSD. Archives of Sexual Behavior, 48, 987–993.Google Scholar
Ley, D., Brovko, J. M. & Reid, R. (2015). Forensic applications of “sex addiction” in US legal proceedings. Current Sexual Health Report, 7, 108–116.Google Scholar
Ley, D., Prause, N. & Finn, P. (2014). The emperor has no clothes: A review of the pornography addiction model. Current Sexual Health Reports, 6(2), 94–105.Google Scholar
Montgomery-Graham, S. (2017). Disorder in the court: The approach to sex addiction in Canadian legal proceedings. The Canadian Journal of Human Sexuality, 26(3), 1–11.Google Scholar
Moser, C. (2013). Hypersexual disorder: Searching for clarity. Sexual Addiction & Compulsivity, 20, 48–58.Google Scholar
Prause, N. & Pfaus, J. (2015). Viewing sexual stimuli associated with greater sexual responsiveness, not erectile dysfunction. Sexual Medicine, 3(2), 90–98.Google Scholar
Raymond, N. C., Grant, J. E. & Coleman, E. (2010). Augmentation with naltrexone to treat compulsive sexual behavior: A case series. Annals of Clinical Psychiatry, 22(1), 56–62.Google Scholar
Reid, R. C. (2007). Assessing readiness to change among client seeking help for hypersexual behavior. Sexual Addiction &Compulsivity, 14, 167–186.Google Scholar
Reid, R. C. (2010). Differentiating emotions in sample men in treatment for hypersexual behavior. Journal of Social Work Practice in the Addictions, 10(2), 197–213.Google Scholar
Reid, R. C. (2015). How should severity be determined for the DSM-5 proposed classification of Hypersexual Disorder? Journal of Behavioral Addictions, 4(4), 221–225.Google Scholar
Reid, R. C. & Grant, J. E. (2017). In search of a parsimonious model to explain hypersexual behavior. Archives of Sexual Behavior, 46(8), 2275-2277.Google Scholar
Reid, R. C. & Kafka, M. (2014). Controversies about hypersexual disorder and DSM-V. Current Sexual Health Report, 6, 259–264.Google Scholar
Reid, R. C. & Meyer, M. D. (2016). Substance use disorders in hypersexual adults. Current Addiction Reports, 3, 400–405.Google Scholar
Reid, R. C., Bramen, J. E., Anderson, A. & Cohen, M. S. (2014). Mindfulness, emotional dysregulation, impulsivity, and stress proneness among hypersexual patients. Journal of Clinical Psychology, 70(4), 313–321.Google Scholar
Reid, R. C., Berlin, H. A. & Kingston, D. A. (2015). Sexual impulsivity in hypersexual men. Current Behavioral Neuroscience Reports, 2, 1–8.Google Scholar
Reid, R. C., Campos, M., Selochan, N. & Fong, T. W. (2018). Characteristics of treatment seeking problem gamblers with adult ADHD. International Journal of Mental Health in the Addictions, 1–16.Google Scholar
Reid, R. C., Carpenter, B. N., Hook, J. N., et al. (2012a). Report of findings in a DSM-5 field trial for hypersexual disorder. Journal of Sexual Medicine, 9, 2868–2877.Google Scholar
Reid, R. C., Cyders, M. A., Moghaddam, J. F. & Fong, T. W. (2014). Psychometric properties of the Barratt Impulsiveness Scale in patients with gambling disorders, hypesexuality, and methamphetamine dependence. Addictive Behaviors, 39, 1640–1645.Google Scholar
Reid, R. C., Davtian, M., Lenartowicz, A., Torrevillas, R. M. & Fong, T. W. (2013). Perspectives on the assessment and treatment of adult ADHD in hypersexual men. Neuropsychiatry, 3(3), 295–308.Google Scholar
Reid, R. C., Dhuffar, M. K., Parhami, I. & Fong, T. W. (2012b). Exploring facets of personality in a patient sample of hypersexual women compared with hypersexual men. Journal of Psychiatric Practice, 18(4), 262–268.Google Scholar
Reid, R. C., Garos, S. & Carpenter, B. N. (2011). Reliability, validity, and psychometric development of the Hypersexual Behavior Inventory in an outpatient sample of men. Sexual Addiction & Compulsivity, 18, 30–51.Google Scholar
Reid, R. C., Garos, S., Carpenter, B. N. & Coleman, E. (2011). A surprising finding related to executive control in a patient sample of hypersexual men. Journal of Sexual Medicine, 8(8), 2227–2236.Google Scholar
Reid, R. C., Harper, J. M. & Anderson, E. H. (2009). Coping strategies used by hypersexual patients to defend against the painful effects of shame. Clinical Psychology & Psychotherapy, 16(2), 125–138.Google Scholar
Reid, R. C., Karim, R., McCrory, E. & Carpenter, B. N. (2010). Self-reported differences on measures of executive function and hypersexual behavior in a patient and community sample of men. International Journal of Neuroscience, 120(2), 120–127.Google Scholar
Skegg, K., Nada-Raja, S. Dickson, N. & Paul, C. (2010). Perceived “out of control” sexual behavior in a cohort of young adults from the Dunedin Multidisciplinary Health and Development Study. Archives of Sexual Behavior, 39(4), 968–978.Google Scholar
Stark, R., Klucken, T., Potenza, M. N. Brand, M. & Strahler, J. (2018). A current understanding of the behavioral neuroscience of compulsive sexual behavior disorder and problematic pornography use. Current Behavioral Neuroscience Reports, 5(4), 218–231.Google Scholar
Sussman, S. & Tsai, J. Y. (2020). Teen sexual addiction. In Essau, C. A. (Ed.), Adolescent Addiction: Epidemiology, Assessment and Treatment (2nd edition). Amsterdam, Netherlands: Elsevier, 241–263.Google Scholar
Sussman, S., Lisha, N. & Griffiths, M., (2011). Prevalence of the addictions: A problem of the majority or the minority? Evaluation & the Health Professions, 34(1), 3–56.Google Scholar
Voon, V., Mole, T. B., Banca, P., et al. (2014). Neural correlates of sexual cue reactivity in individuals with and without compulsive sexual behaviours. PLoS ONE, 9, e102419.Google Scholar
Weinstein, A., Katz, L., Eberhardt, H., Cohen, K. & Lejoyeux, M. (2015). Sexual compulsion-relationship with sex, attachment, and sexual orientation. Journal of Behavioral Addiction, 4(1), 22–26.Google Scholar
Winters, J., Christoff, K. & Gorzalka, B. B. (2010). Dysregulated sexuality and high sexual desire: Distinct constructs? Archives of Sexual Behavior, 39(5), 1029–1043.Google Scholar
Womack, S. D., Hook, J. N., Ramos, M., Davis, D. E. & Penberthy, J. K. (2013). Measuring hypersexual behavior. Sexual Addiction & Compulsivity, 20, 65–78.Google Scholar
World Health Organization (2018). International Classification of Diseases for Mortality and Morbidity Statistics (11th Revision).Google Scholar

References

Ahmadi, V., Davoudi, I., Ghazaei, M. & Mardani, M. (2013). Prevalence of obsessive love and its association with attachment styles. Procedia-Social and Behavioral Sciences, 84, 696–700.Google Scholar
Aron, A. & Aron, E. (1986). Love and the Expansion of Self: Understanding Attraction and Satisfaction. New York, NY: Hemisphere.Google Scholar
Aron, A., Paris, M. & Aron, E. N. (1995). Falling in love: Prospective studies of self-concept change. Journal of Personality and Social Psychology, 69, 1102–1112.Google Scholar
Aron, A., Norman, C. C., Aron, E. N., McKenna, C. & Heyman, R. (2000). Couples shared participation in novel and arousing activities and experienced relationship quality. Journal of Personality and Social Psychology, 78, 273–283.Google Scholar
Bartels, A. & Zeki, S. (2004). The neural correlates of maternal and romantic love. Neuroimage, 21, 1155–1166.Google Scholar
Baumeister, R. F. & Dhavale, D. A. W. N. (2001). Two sides of romantic rejection. Interpersonal Rejection, 55–71.Google Scholar
Baumeister, R. F., Wotman, S. R. & Stillwell, A. M. (1993). Unrequited love: On heartbreak, anger, guilt, scriptlessness, and humiliation. Journal of Personality and Social Psychology, 64, 377.Google Scholar
Brown, L. L., Acevedo, B. & Fisher, H. E. (2013). Neural correlates of four broad temperament dimensions: Testing predictions for a novel construct of personality. PLoS ONE, 8, e78734.Google Scholar
Burkett, J. P. & Young, L. J. (2012). The behavioral, anatomical and pharmacological parallels between social attachment, love and addiction. Psychopharmacology, 224, 1–26.Google Scholar
Buss, D. M. & Schmitt, D. P. (1993). Sexual strategies theory: An evolutionary perspective on human mating. Psychological Review, 100, 204.Google Scholar
Christie, N. & Bechara, A. (2020). Neurobiology of substance addictions. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 121–136.Google Scholar
Compson, J. (2014). Meditation, trauma and suffering in silence: Raising questions about how meditation is taught and practiced in Western contexts in the light of a contemporary trauma resiliency model. Contemporary Buddhism, 15, 274–297.Google Scholar
Costa, S., Barberis, N., Griffiths, M. D., Benedetto, L. & Ingrassia, M. (2019). The love addiction inventory: Preliminary findings of the development process and psychometric characteristics. International Journal of Mental Health and Addiction, 1–18.Google Scholar
Davidson, R. J. & Begley, S. (2012). The Emotional Life of Your Brain: How its Unique Patterns Affect the Way You Think, Feel, and Live – and How You Can Change Them. Penguin.Google Scholar
Di Chiara, G., Bassareo, V., Fenu, S., et al. (2004). Dopamine and drug addiction: The nucleus accumbens shell connection. Neuropharmacology, 47, 227–241.Google Scholar
Dietrich, A. & McDaniel, W. F. (2004). Endocannabinoids and exercise. British Journal of Sports Medicine, 38, 536–541.Google Scholar
Earp, B. D., Wudarczyk, O. A., Sandberg, A. & Savulescu, J. (2013). If I could just stop loving you: Anti-love biotechnology and the ethics of a chemical breakup. The American Journal of Bioethics, 13, 3–17.Google Scholar
Earp, B. D., Wudarczyk, O. A., Foddy, B. & Savulescu, J. (2017). Addicted to love: What is love addiction and when should it be treated? Philosophy, Psychiatry, & Psychology, 24(1), 77–92.Google Scholar
Federal Bureau of Investigation [FBI] (2011). Uniform crime reports, expanded homicide data table 10. Accessed at: www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/expanded-homicide-data-table-10.Google Scholar
Feeney, J. A. & Noller, P. (1990). Attachment style as a predictor of adult romantic relationships. Journal of Personality and Social Psychology, 58, 281.Google Scholar
Fisher, H. E. (1989). Evolution of human serial pair-bonding. American Journal of Physical Anthropology, 78, 331–354.Google Scholar
Fisher, H. E. (1992). Anatomy of Love: The Natural History of Monogamy, Adultery, and Divorce. New York: W. W. Norton & Company Incorporated.Google Scholar
Fisher, H. E. (1998). Lust, attraction, and attachment in mammalian reproduction. Human Nature, 9, 23–52.Google Scholar
Fisher, H. E. (2000). Lust, attraction, attachment: Biology and evolution of the three primary emotion systems for mating, reproduction, and parenting. Journal of Sex Education and Therapy, 25, 96–104.Google Scholar
Fisher, H. E. (2004). Why We Love: The Nature and Chemistry of Romantic Love. New York, NY: Henry Holt.Google Scholar
Fisher, H. E. (2011). Serial monogamy and clandestine adultery: Evolution and consequences of the dual human reproductive strategy. In Roberts (Ed.), S. C. Applied Evolutionary Psychology. New York, NY: Oxford University Press, pp. 96–111.Google Scholar
Fisher, H. E. (2016). Anatomy of Love (2nd edition). New York: W. W. Norton.Google Scholar
Fisher, H. E. & Thomson, J. A. Jr. (2007). Lust, romance, attachment: Do the side effects of serotonin-enhancing antidepressants jeopardize romantic love, marriage, and fertility? Evolutionary Cognitive Neuroscience, 245–283.Google Scholar
Fisher, H., Aron, A., Mashek, D., et al. (2003). Early stage intense romantic love activates cortical-basal-ganglia reward/motivation, emotion and attention systems: An fMRI study of a dynamic network that varies with relationship length, passion intensity and gender. Poster presented at the Annual Meeting of the Society for Neuroscience, New Orleans.Google Scholar
Fisher, H., Aron, A. & Brown, L. L. (2005). Romantic love: An fMRI study of a neural mechanism for mate choice. Journal of Comparative Neurology, 493, 58–62.Google Scholar
Fisher, H. E., Aron, A. & Brown, L. L. (2006). Romantic love: A mammalian brain system for mate choice. Philosophical Transactions of the Royal Society B: Biological Sciences, 361, 2173–2186.Google Scholar
Fisher, H. E., Brown, L. L., Aron, A., Strong, G. & Mashek, D. (2010). Reward, addiction, and emotion regulation systems associated with rejection in love. Journal of Neurophysiology, 104, 51–60.Google Scholar
Fisher, H. E., Island, H. D., Rich, J. Marchalik, D. & Brown, L. L. (2015). Four broad temperament dimensions: Description, convergent validation correlations, and comparison with the Big Five. Frontiers in Psychology: Personality and Social Psychology,  6, 1098.Google Scholar
Fisher, H. E., Xu, X., Aron, A. & Brown, L. L. (2016). Intense, passionate, romantic love: A natural addiction? How the fields that investigate romance and substance abuse can inform each other. Frontiers in Psychology, 7, 687.Google Scholar
Fletcher, G. J., Simpson, J. A., Campbell, L. & Overall, N. C. (2015). Pair-bonding, romantic love, and evolution: The curious case of Homo sapiens. Perspectives on Psychological Science, 10, 20–36.Google Scholar
Frohlich, P. F. & Meston, C. M. (2000). Evidence that serotonin affects female sexual functioning via peripheral mechanisms. Physiology & Behavior, 71, 383–393.Google Scholar
Gingrich, B., Liu, Y., Cascio, C. Z. & Insel, T. R. (2000). Dopamine D2 receptors in the nucleus accumbens are important for social attachment in female prairie voles (Microtus ochrogaster). Behavioral Neuroscience, 114, 173–183.Google Scholar
Goldfarb, A. H. & Jamurtas, A. Z. (1997). Beta-endorphin response to exercise. An update. Sports Medicine, 24, 8–16.Google Scholar
Gould, M., Jamieson, P. & Romer, D. (2003). Media contagion and suicide among the young. American Behavioral Scientist, 46, 1269–1284.Google Scholar
Grant, S., Colaiaco, B., Motala, A., et al. (2017). Mindfulness-based relapse prevention for substance use disorders: A systematic review and meta-analysis. Journal of Addiction Medicine, 11, 386.Google Scholar
Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10, 191–197.Google Scholar
Hansen, W. B. (1992). School-based substance abuse prevention: A review of the state of the art in curriculum, 1980–1990. Health Education Research, 7, 403–430.Google Scholar
Hansen, W. B. (1996). Pilot test results comparing the All Stars program with seventh grade DARE: Program integrity and mediating variable analysis. Substance Use & Misuse, 31, 1359–1377.Google Scholar
Hansen, W. B. & McNeal, R. B. Jr (1997). How DARE works: An examination of program effects on mediating variables. Health Education & Behavior, 24, 165–176.Google Scholar
Hatfield, E. & Rapson, R. L. (1996). Stress and passionate love. Stress and Emotion: Anxiety, Anger, and Curiosity, 16, 29–50.Google Scholar
Hazan, C. & Shaver, P. (1987). Romantic love conceptualized as an attachment process. Journal of Personality and Social Psychology, 52, 511–524.Google Scholar
Heijnen, S., Hommel, B., Kibele, A. & Colzato, L. S. (2016). Neuromodulation of aerobic exercise – A review. Frontiers in Psychology, 6, 1890.Google Scholar
Hunter, M. S., Nitschke, C. & Hogan, L. (1981). A scale to measure love addiction. Psychological Reports, 48, 582–582.Google Scholar
Iwaniec, D. & Sneddon, H. (2001). Attachment style in adults who failed to thrive as children: Outcomes of a 20 year follow-up study of factors influencing maintenance or change in attachment style. British Journal of Social Work, 31, 179–195.Google Scholar
Jankowiak, W. R. & Fischer, E. F. (1992). A cross-cultural perspective on romantic love. Ethnology, 31, 149–155.Google Scholar
Kardefelt‐Winther, D., Heeren, A., Schimmenti, A., et al. (2017). How can we conceptualize behavioral addiction without pathologizing common behaviors? Addiction, 112, 1709–1715.Google Scholar
Kirsch, P., Reuter, M., Mier, D., et al. (2006). Imaging gene–substance interactions: The effect of the DRD2 TaqIA polymorphism and the dopamine agonist bromocriptine on the brain activation during the anticipation of reward. Neuroscience Letters, 405, 196–201.Google Scholar
Liu, Y. & Wang, Z. X. (2003). Nucleus accumbens oxytocin and dopamine interact to regulate pair bond formation in female prairie voles. Neuroscience, 121, 537–544.Google Scholar
Lopez, F. G. & Gormley, B. (2002). Stability and change in adult attachment style over the first-year college transition: Relations to self-confidence, coping, and distress patterns. Journal of Counseling Psychology, 49, 355.Google Scholar
Lorena, A., Sophia, E. C., Mello, C., Tavares, H. & Ziberman, M. L. (2008). Group therapy for pathological love. Review of Brasilian Psychiatry (Revista Brasileira de Psiquiatria), 30, 292–293.Google Scholar
Mattingly, B. A., Mcintyre, K. P. & Lewandowski, G. W. Jr (2012). Approach motivation and the expansion of self in close relationships. Personal Relationships, 19, 113–127.Google Scholar
Mearns, J. (1991). Coping with a breakup: Negative mood regulation expectancies and depression following the end of a romantic relationship. Journal of Personality and Social Psychology, 60, 327.Google Scholar
Meloy, J. R., Davis, B. & Lovette, J. (2001). Risk factors for violence among stalkers. Journal of Threat Assessment, 1(1), 3–16.Google Scholar
Nolen-Hoeksema, S., Larson, J. & Grayson, C. (1999). Explaining the gender difference in depressive symptoms. Journal of Personality and Social Psychology, 77, 1061.Google Scholar
Nutt, D. J., Lingford-Hughes, A., Erritzoe, D. & Stokes, P. R. (2015). The dopamine theory of addiction: 40 years of highs and lows. Nature Reviews Neuroscience, 16, 305.Google Scholar
Panksepp, J., Knutson, B. & Burgdorf, J. (2002). The role of brain emotional systems in addictions: A neuro‐evolutionary perspective and new ‘self‐report’ animal model. Addiction, 97, 459–469.Google Scholar
Reynaud, M., Karila, L., Blecha, L. & Benyamina, A. (2010). Is love passion an addictive disorder? The American Journal of Drug and Alcohol Abuse, 36, 261–267.Google Scholar
Robinson, D. L., Heien, M. L. & Wightman, R. M. (2002). Frequency of dopamine concentration transients increases in dorsal and ventral striatum of male rats during introduction of conspecifics. Journal of Neuroscience, 22, 10477–10486.Google Scholar
Rosenthal, N. E. (2002). The Emotional Revolution: How the New Science of Feelings can Transform Your Life. New York: Citadel Press Books.Google Scholar
Sanches, M. & John, V. P. (2019). Treatment of love addiction: Current status and perspectives. The European Journal of Psychiatry, 33(1), 38–44.Google Scholar
Schaeffer, B. (2009). Is it Love or is it Addiction: The Book that Changed the Way We Think About Romance and Intimacy. Simon and Schuster.Google Scholar
Shaver, P., Hazan, C. & Bradshaw, D. (1988). Love as attachment: The integration of three behavioral systems. In Sternberg, R. J. & Barnes, M. L. (Eds.), The Psychology of Love. New Haven, CT: Yale University Press, pp. 68–99.Google Scholar
Stanton, S. C., Campbell, L. & Loving, T. J. (2014). Energized by love: Thinking about romantic relationships increases positive affect and blood glucose levels. Psychophysiology, 51, 990–995.Google Scholar
Sussman, S. (2010). Love addiction: Definition, etiology, treatment. Sexual Addiction & Compulsivity, 17, 31–45.Google Scholar
Sussman, S. (2013). A lifespan developmental-stage approach to tobacco and other drug abuse prevention. ISRN Addiction, article ID 745783, 19 pages.Google Scholar
Sussman, S. (2017). Substance and Behavioral Addictions: Concepts, Causes, and Cures. Cambridge: Cambridge University Press.Google Scholar
Sussman, S. & Pakdaman, S. (2020). Appetitive needs and addiction. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 3–12.Google Scholar
Sussman, S. & Sussman, A. N. (2011). Considering the definition of addiction. International Journal of Environmental Research and Public Health, 8, 4025–4038.Google Scholar

References

Aboujaoude, E. (2014). Compulsive buying disorder: A review and update. Current Pharmaceutical Design, 20(25), 4021–4025. doi:10.2174/13816128113199990618Google Scholar
American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). Arlington, VA: American Psychiatric Publishing.Google Scholar
Andrews, C. (2000). Simplicity circles and the compulsive shopper. In Benson, A. L. (Ed.), I Shop, Therefore I Am – Compulsive Buying and the Search for Self. New York: Jason Aronson, pp. 484–496.Google Scholar
Arenson, G. (1991). Born to Spend: How to Overcome Compulsive Spending. Human Services Institute.Google Scholar
Belk, R. W. (1999). Leaping luxuries and transitional consumers. In Batra, R. (Ed.), Marketing Issues in Transitional Economies. Boston, MA: Springer US, pp. 39–54.Google Scholar
Benson, A. L. (Ed.) (2000). I Shop, Therefore I Am – Compulsive Buying and the Search for Self. New York: Aronson.Google Scholar
Benson, A. L., Eisenach, D., Abrams, L. & van Stolk-Cooke, K. (2014). Stopping Overshopping: A preliminary randomized controlled trial of group therapy for compulsive buying disorder. Journal of Groups in Addiction & Recovery, 9(2), 97–125. doi:10.1080/1556035X.2014.868725Google Scholar
Black, D. W. (2001). Compulsive buying disorder. CNS Drugs, 15(1), 17–27. doi:10.2165/00023210-200115010-00003Google Scholar
Black, D. W. (2007a). Compulsive buying disorder: A review of the evidence. CNS Spectrums, 12(2), 124–132. doi:10.1017/S1092852900020630Google Scholar
Black, D. W. (2007b). A review of compulsive buying disorder. World Psychiatry, 6(1), 14–18.Google Scholar
Black, D. W., Coryell, W., Crowe, R., et al. (2015). The relationship of DSM-IV pathological gambling to compulsive buying and other possible spectrum disorders: Results from the Iowa PG family study. Psychiatry Research, 226(1), 273–276. doi:10.1016/j.psychres.2014.12.061Google Scholar
Black, D. W., Gabel, J., Hansen, J. & Schlosser, S. (2000). A double-blind comparison of fluvoxamine versus placebo in the treatment of compulsive buying disorder. Annals of Clinical Psychiatry, 12(4), 205–211. doi:10.1023/a:1009030425631Google Scholar
Black, D. W., Monahan, P. & Gabel, J. (1997). Fluvoxamine in the treatment of compulsive buying. Journal of Clinical Psychiatry, 58(4), 159–163.Google Scholar
Black, D. W., Monahan, P., Schlosser, S. & Repertinger, S. (2001). Compulsive buying severity: An analysis of Compulsive Buying Scale results in 44 subjects. The Journal of Nervous and Mental Disease, 189(2), 123–126.Google Scholar
Black, D. W., Repertinger, S., Gaffney, G. R. & Gabel, J. (1998). Family history and psychiatric comorbidity in persons with compulsive buying: Preliminary findings. American Journal of Psychiatry, 155(7), 960–963. doi:10.1176/ajp.155.7.960Google Scholar
Black, D. W., Shaw, M. & Allen, J. (2016). Five-year follow-up of people diagnosed with compulsive shopping disorder. Comprehensive Psychiatry, 68, 97–102. doi:10.1016/j.comppsych.2016.03.004Google Scholar
Black, D. W., Shaw, M., McCormick, B., Bayless, J. D. & Allen, J. (2012). Neuropsychological performance, impulsivity, ADHD symptoms, and novelty seeking in compulsive buying disorder. Psychiatry Research, 200(2), 581–587. doi:10.1016/j.psychres.2012.06.003Google Scholar
Bleuler, E. (1924). Textbook of Psychiatry. New York: Macmillan.Google Scholar
Catalano, E. M. & Sonenberg, N. (1993). Consuming Passion: Help for Compulsive Shoppers. Oakland, CA: New Harbinger Publications.Google Scholar
Christenson, G. A., Faber, R. J. & Mitchell, J. E. (1994). “Compulsive buying: Descriptive characteristics and psychiatric comorbidity”: Dr. Christenson and colleagues reply. The Journal of Clinical Psychiatry, 55(12), 545–546.Google Scholar
Christie, N. & Bechara, A. Neurobiology of substance addictions. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 121–136.Google Scholar
Comings, D. E. (1998). The molecular genetics of pathological gambling. CNS Spectrums, 3(6), 20–37.Google Scholar
Devor, E. J., Magee, H. J., Dill-Devor, R. M., Gabel, J. & Black, D. W. (1999). Serotonin transporter gene (5-HTT) polymorphisms and compulsive buying. American Journal of Medical Genetics, 88(2), 123–125. doi:10.1002/(SICI)1096-8628(19990416)88:2<123::AID-AJMG5>3.0.CO;2-SGoogle Scholar
Dittmar, H., Long, K. & Bond, R. (2007). When a better self is only a button click away: Associations between materialistic values, emotional and identity–related buying motives, and compulsive buying tendency online. Journal of Social and Clinical Psychology, 26(3), 334–361. doi:10.1521/jscp.2007.26.3.334Google Scholar
Dittmar, H., Long, K. & Meek, R. (2004). Buying on the internet: Gender differences in on-line and conventional buying motivations. Sex Roles, 50(5), 423–444. doi:10.1023/B:SERS.0000018896.35251.c7Google Scholar
Donahue, C. B., Odlaug, B. L. & Grant, J. E. (2011). Compulsive buying treated with motivational interviewing and imaginal desensitization. Annals of Clinical Psychiatry, 23(3), 226–227.Google Scholar
Duroy, D., Gorse, P. & Lejoyeux, M. (2014). Characteristics of online compulsive buying in Parisian students. Addictive Behaviors, 39(12), 1827–1830. doi:https://doi.org/10.1016/j.addbeh.2014.07.028Google Scholar
Edwards, E. A. (1993). Development of a new scale for measuring compulsive buying behavior. Financial Counseling and Planning, 4(1), 67–84.Google Scholar
Faber, R. J. & O'Guinn, T. C. (1989). Classifying Compulsive Consumers: Advances in the Development of a Diagnostic Tool. ACR North American Advances.Google Scholar
Faber, R. J. & O'Guinn, T. C. (1992). A clinical screener for compulsive buying. Journal of Consumer Research, 19(3), 459-469. doi:10.1086/209315Google Scholar
Fernández-Aranda, F., Jiménez-Murcia, S., Álvarez-Moya, E. M., Granero, R., Vallejo, J. & Bulik, C. M. (2006). Impulse control disorders in eating disorders: Clinical and therapeutic implications. Comprehensive Psychiatry, 47(6), 482–488. doi:10.1016/j.comppsych.2006.03.002Google Scholar
Frost, R. O., Kim, H.-J., Morris, C., et al. (1998). Hoarding, compulsive buying and reasons for saving. Behaviour Research and Therapy, 36(7), 657–664. doi:10.1016/S0005-7967(98)00056-4Google Scholar
Goodman, W., Price, L., Rasmussen, S., et al. (1989). Yale–Brown obsessive compulsive scale (Y-BOCS). Archives of General Psychiatry, 46, 1006–1011.Google Scholar
Grant, J. E. (2003). Three cases of compulsive buying treated with naltrexone. International Journal of Psychiatry in Clinical Practice, 7(3), 223–225.Google Scholar
Grant, J. E. & Kim, S. W. (2003). Comorbidity of impulse control disorders in pathological gamblers. Acta Psychiatrica Scandinavica, 108(3), 203–207. doi:10.1034/j.1600-0447.2003.00162.xGoogle Scholar
Grant, J. E., Odlaug, B. L., Mooney, M., O'Brien, R. & Kim, S. W. (2012). Open-label pilot study of memantine in the treatment of compulsive buying. Annals of Clinical Psychiatry: Official Journal of the American Academy of Clinical Psychiatrists, 24(2), 119–126.Google Scholar
Hague, B., Hall, J. & Kellett, S. (2016). Treatments for compulsive buying: A systematic review of the quality, effectiveness and progression of the outcome evidence. Journal of Behavioral Addictions, 5(3), 379–394. doi:10.1556/2006.5.2016.064Google Scholar
Holden, C. (2001). ‘Behavioral’ addictions: Do they exist? Science, 294(5544), 980–982. doi:10.1126/science.294.5544.980Google Scholar
Hollander, E. (1993). Obsessive-Compulsive-Related Disorders. Arlington, VA: American Psychiatric Publishing.Google Scholar
Kim, S. W. (1998). Opioid antagonists in the treatment of impulse-control disorders. Journal of Clinical Psychiatry, 59(4), 159–164.Google Scholar
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D. & Loewenstein, G. (2007). Neural predictors of purchases. Neuron, 53(1), 147–156. doi:10.1016/j.neuron.2006.11.010Google Scholar
Koran, L. (2005). Escitalopram treatment evaluated in patients with compulsive shopping disorder. Primary Psychiatry, 12(12), 13.Google Scholar
Koran, L. M., Aboujaoude, E. N., Solvason, B., Gamel, N. N. & Smith, E. H. (2007). Escitalopram for compulsive buying disorder: A double-blind discontinuation study. Journal of Clinical Psychopharmacology, 27(2), 225–227. doi:10.1097/01.jcp.0000264975.79367.f4Google Scholar
Koran, L. M., Bullock, K. D., Hartston, H. J., Elliott, M. A. & D'Andrea, V. (2002). Citalopram treatment of compulsive shopping: An open-label study. Journal of Clinical Psychiatry, 63(8), 704–708. doi:10.4088/JCP.v63n0808Google Scholar
Koran, L. M., Chuong, H. W., Bullock, K. D. & Smith, S. C. (2003). Citalopram for compulsive shopping disorder: An open-label study followed by double-blind discontinuation. Journal of Clinical Psychiatry, 64(7), 793–798.Google Scholar
Koran, L. M., Faber, R. J., Aboujaoude, E., Large, M. D. & Serpe, R. T. (2006). Estimated prevalence of compulsive buying behavior in the United States. American Journal of Psychiatry, 163(10), 1806–1812. doi:10.1176/ajp.2006.163.10.1806Google Scholar
Kraepelin, E. (1915). Psychiatrie; ein Lehrbuch für Studierende und Aerzte. Leipzig: Barth.Google Scholar
Krueger, D. W. (1988). On compulsive shopping and spending: A psychodynamic inquiry. American Journal of Psychotherapy, 42(4), 574–584. doi:10.1176/appi.psychotherapy.1988.42.4.574Google Scholar
Krych, R. (1989). Abnormal Consumer Behavior: a Model of Addictive Behaviors. ACR North American Advances.Google Scholar
Kukar-Kinney, M., Ridgway, N. M. & Monroe, K. B. (2009). The relationship between consumers’ tendencies to buy compulsively and their motivations to shop and buy on the internet. Journal of Retailing, 85(3), 298–307. doi:10.1016/j.jretai.2009.05.002Google Scholar
Kuzma, J. M. & Black, D. W. (2006). Compulsive shopping. Current Psychiatry, 5(7), 26.Google Scholar
Lawrence, L. (1990). The psychodynamics of the compulsive female shopper. The American Journal of Psychoanalysis, 50(1), 67–70. doi:10.1007/bf01253458Google Scholar
Lee, S. & Mysyk, A. (2004). The medicalization of compulsive buying. Social Science & Medicine, 58(9), 1709–1718. doi:10.1016/S0277-9536(03)00340-XGoogle Scholar
Leite, P., Rangé, B., Kukar-Kiney, M., et al. (2013). Cross-cultural adaptation, validation and reliability of the Brazilian version of the Richmond Compulsive Buying Scale. Revista Brasileira de Psiquiatria, 35(1), 38–43.Google Scholar
Lejoyeux, M. & Weinstein, A. (2010). Compulsive buying. The American Journal of Drug and Alcohol Abuse, 36(5), 248–253. doi:10.3109/00952990.2010.493590Google Scholar
Lejoyeux, M., Ades, J., Tassain, V. & Solomon, J. (1996). Phenomenology and psychopathology of uncontrolled buying. The American Journal of Psychiatry, 153(12), 1524.Google Scholar
Lejoyeux, M., Avril, M., Richoux, C., Embouazza, H. & Nivoli, F. (2008). Prevalence of exercise dependence and other behavioral addictions among clients of a Parisian fitness room. Comprehensive Psychiatry, 49(4), 353–358. doi:10.1016/j.comppsych.2007.12.005Google Scholar
Lejoyeux, M., Bailly, F., Moula, H., Loi, S. & Adès, J. (2005). Study of compulsive buying in patients presenting obsessive-compulsive disorder. Comprehensive Psychiatry, 46(2), 105–110. doi:10.1016/j.comppsych.2004.07.027Google Scholar
Lejoyeux, M., Kerner, L., Thauvin, I. & Loi, S. (2006). Study of impulse control disorders among women presenting nicotine dependence. International Journal of Psychiatry in Clinical Practice, 10(4), 241–246. doi:10.1080/13651500600650000Google Scholar
Lejoyeux, M., Mathieu, K., Embouazza, H., Huet, F. & Lequen, V. (2007). Prevalence of compulsive buying among customers of a Parisian general store. Comprehensive Psychiatry, 48(1), 42–46. doi:10.1016/j.comppsych.2006.05.005Google Scholar
Lejoyeux, M., Tassain, V., Solomon, J. & Adès, J. (1997). Study of compulsive buying in depressed patients. Journal of Clinical Psychiatry, 58(4), 169–173. doi:10.4088/JCP.v58n0406Google Scholar
Maraz, A., Griffiths, M. D. & Demetrovics, Z. (2016). The prevalence of compulsive buying: A meta-analysis. Addiction, 111(3), 408–419. doi:10.1111/add.13223Google Scholar
Mazhari, S. (2012). Association between problematic internet use and impulse control disorders among Iranian university students. Cyberpsychology, Behavior, and Social Networking, 15(5), 270–273. doi:10.1089/cyber.2011.0548Google Scholar
McElroy, S. L., Keck, P. E. Jr., Pope, H. G. Jr., Smith, J. M. & Strakowski, S. M. (1994). Compulsive buying: a report of 20 cases. J ournal of Clinical Psychiatry, 55(6), 242–248.Google Scholar
McElroy, S. L., Keck, P. E. & Phillips, K. A. (1995). Kleptomania, compulsive buying, and binge-eating disorder. Journal of Clinical Psychiatry, 56 (Supplement 4), 14–26; discussion 27.Google Scholar
McElroy, S. L., Satlin, A., Pope, H. G., Keck, P. E. & Hudson, J. I. (1991). Treatment of compulsive shopping with antidepressants: A report of three cases. Annals of Clinical Psychiatry, 3(3), 199–204. doi:10.3109/10401239109147991Google Scholar
Mellan, O. & Benson, A. L. (2000). Overcoming overspending in couples. In Benson, A. L. (Ed.), I Shop, Therefore I Am – Compulsive Buying and the Search for Self. New York: Aronson, pp. 341–366.Google Scholar
Miltenberger, R. G., Redlin, J., Crosby, R., et al. (2003). Direct and retrospective assessment of factors contributing to compulsive buying. Journal of Behavior Therapy and Experimental Psychiatry, 34(1), 1–9. doi:10.1016/S0005-7916(03)00002-8Google Scholar
Mitchell, J. E., Burgard, M., Faber, R., Crosby, R. D. & de Zwaan, M. (2006). Cognitive behavioral therapy for compulsive buying disorder. Behaviour Research and Therapy, 44(12), 1859–1865. doi:10.1016/j.brat.2005.12.009Google Scholar
Monahan, P., Black, D. W. & Gabel, J. (1996). Reliability and validity of a scale to measure change in persons with compulsive buying. Psychiatry Research, 64(1), 59–67. doi:10.1016/0165-1781(96)02908-3Google Scholar
Mueller, A., Mitchell, J. E., Black, D. W., et al. (2010a). Latent profile analysis and comorbidity in a sample of individuals with compulsive buying disorder. Psychiatry Research, 178(2), 348–353. doi:10.1016/j.psychres.2010.04.021Google Scholar
Mueller, A., Mitchell, J. E., Crosby, R. D., et al. (2010b). Estimated prevalence of compulsive buying in Germany and its association with sociodemographic characteristics and depressive symptoms. Psychiatry Research, 180(2), 137–142. doi:10.1016/j.psychres.2009.12.001Google Scholar
Mueller, A., Mueller, U., Silbermann, A., et al. (2008). A randomized, controlled trial of group cognitive-behavioral therapy for compulsive buying disorder: Posttreatment and 6-month follow-up results. Journal of Clinical Psychiatry, 69(7), 1131–1138. doi:10.4088/JCP.v69n0713Google Scholar
Müller, A., Arikian, A., Zwaan, M. & Mitchell, J. E. (2013). Cognitive–behavioural group therapy versus guided self-help for compulsive buying disorder: A preliminary study. Clinical Psychology and Psychotherapy, 20(1), 28–35. doi:10.1002/cpp.773Google Scholar
Müller, A., Mitchell, J. E., Crosby, R. D., et al. (2012). Mood states preceding and following compulsive buying episodes: an ecological momentary assessment study. Psychiatry Research, 200(2), 575–580. doi:10.1016/j.psychres.2012.04.015Google Scholar
Müller, A., Mitchell, J. E. & de Zwaan, M. (2015). Compulsive buying. The American Journal on Addictions, 24(2), 132–137. doi:doi:10.1111/ajad.12111Google Scholar
Neuner, M., Raab, G. & Reisch, L. A. (2005). Compulsive buying in maturing consumer societies: An empirical re-inquiry. Journal of Economic Psychology, 26(4), 509–522. doi:10.1016/j.joep.2004.08.002Google Scholar
Ninan, P. T., McElroy, S. L., Kane, C. P., et al. (2000). Placebo-controlled study of fluvoxamine in the treatment of patients with compulsive buying. Journal of Clinical Psychopharmacology, 20(3), 362–366.Google Scholar
O'Guinn, T. C. & Faber, R. J. (1989). Compulsive buying: A phenomenological exploration. Journal of Consumer Research, 16(2), 147–157. doi:10.1086/209204Google Scholar
Otero-López, J. M. & Villardefrancos, E. (2014). Prevalence, sociodemographic factors, psychological distress, and coping strategies related to compulsive buying: a cross sectional study in Galicia, Spain. BMC Psychiatry, 14(1), 101. doi:10.1186/1471-244x-14-101Google Scholar
Raab, G., Elger, C. E., Neuner, M. & Weber, B. (2011). A neurological study of compulsive buying behaviour. Journal of Consumer Policy, 34(4), 401. doi:10.1007/s10603-011-9168-3Google Scholar
Ridgway, N. M., Kukar-Kinney, M. & Monroe, K. B. (2008). An expanded conceptualization and a new measure of compulsive buying. Journal of Consumer Research, 35(4), 622–639. doi:10.1086/591108Google Scholar
Roberts James, A. & Jones, E. L. I. (2005). Money attitudes, credit card use, and compulsive buying among American college students. Journal of Consumer Affairs, 35(2), 213–240. doi:10.1111/j.1745-6606.2001.tb00111.xGoogle Scholar
Sansone, R. A., Chang, J., Jewell, B. & Sellbom, M. (2012). Compulsive buying: Associations with self-reported alcohol and drug problems. The American Journal on Addictions, 21(2), 178–179. doi:10.1111/j.1521-0391.2011.00211.xGoogle Scholar
Scherhorn, G., Reisch, L. A. & Raab, G. (1990). Addictive buying in West Germany: An empirical study. Journal of Consumer Policy, 13(4), 355–387. doi:10.1007/bf00412336Google Scholar
Schlosser, S., Black, D. W., Repertinger, S. & Freet, D. (1994). Compulsive buying: Demography, phenomenology, and comorbidity in 46 subjects. General Hospital Psychiatry, 16(3), 205–212.Google Scholar
Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. & Jacobs, G. (1983). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.Google Scholar
Sussman, S. (2017). Substance and Behavioral Addictions: Concepts, Causes, and Cures. Cambridge: Cambridge University Press.Google Scholar
Sussman, S. & Sussman, A. N. (2011). Considering the definition of addiction. International Journal of Environmental Research and Public Health, 8(10), 4025–4038.Google Scholar
Sussman, S., Dent, C. W., Burton, D., Stacy, A. W. & Flay, B. R. (1995). Developing School-Based Tobacco Use Prevention and Cessation Programs. Sage Publications, Inc.Google Scholar
Tommasi, M. & Busonera, A. (2012). Validation of three compulsive buying scales on an Italian sample. Psychological Reports, 111(3), 831–844. doi:10.2466/03.15.20.pr0.111.6.831-844Google Scholar
Torres, A. R., Fontenelle, L. F., Ferrão, Y. A., et al. (2012). Clinical features of obsessive-compulsive disorder with hoarding symptoms: A multicenter study. Journal of Psychiatric Research, 46(6), 724–732. doi:10.1016/j.jpsychires.2012.03.005Google Scholar
Vaccaro, A. G. & Potenza, M. N. (2020). Neurobiological Foundations of Behavioral Addictions. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 136–152.Google Scholar
Valence, G., d'Astous, A. & Fortier, L. (1988). Compulsive buying: Concept and measurement. Journal of Consumer Policy, 11(4), 419–433. doi:10.1007/bf00411854Google Scholar
Weinstein, A., Mezig, H., Mizrachi, S. & Lejoyeux, M. (2015). A study investigating the association between compulsive buying with measures of anxiety and obsessive–compulsive behavior among internet shoppers. Comprehensive Psychiatry, 57, 46–50. doi:https://doi.org/10.1016/j.comppsych.2014.11.003Google Scholar
Wesson, C. (1990). Women Who Shop Too Much: Overcoming the Urge to Splurge. New York: St. Martin’s Press.Google Scholar
Winestine, M. C. (1985). Compulsive shopping as a derivative of a childhood deduction. The Psychoanalytic Quarterly, 54(1), 70–72. doi:10.1080/21674086.1985.11927095Google Scholar

References

Allegre, B., Souville, M., Therme, P. & Griffiths, M. (2006). Definitions and measures of exercise dependence. Addiction Research & Theory, 14(6), 631–646.Google Scholar
American Psychiatric Association [APA] (2013). Diagnostic and Statistical Manual of Mental Disorders (5th edition). Washington, DC: American Psychiatric Association.Google Scholar
Andreassen, C. S. (2014). Workaholism: an overview and current status of the research. Journal of Behavioral Addictions, 3, 1–11.Google Scholar
Andreassen, C. S., Griffiths, M. D., Hetland, J., et al. (2014). The prevalence of workaholism: A survey study in a nationally representative sample of Norwegian employees. PLoS ONE, 9, e102446. doi:10.1371/journal.pone.0102446Google Scholar
Andreassen, C. S., Griffiths, M. D., Hetland, J. & Pallesen, S. (2012a). Development of a work addiction scale. Scandinavian Journal of Psychology, 53(3), 265–272.Google Scholar
Andreassen, C. S., Griffiths, M. D., Sinha, R., Hetland, J. & Pallesen, S. (2016). The relationships between workaholism and symptoms of psychiatric disorders: A large-scale cross-sectional study. PLoS ONE, 11(5), e0152978.Google Scholar
Andreassen, C. S., Tosheim, T., BrunBerg, G. S. & Pallesen, S. (2012b). Development of a Facebook Addiction Scale. Psychological Reports, 110, 501–517.Google Scholar
Billieux, J., Philippot, P., Schmid, C., et al. M. (2015). Is dysfunctional use of the mobile phone a behavioural addiction? Confronting symptom-based versus process-based approaches. Clinical Psychology and Psychotherapy, 22, 460–468.Google Scholar
Brown, R. I. F. (1993). Some contributions of the study of gambling to the study of other addictions. In Eadington, W. R. & Cornelius, J. (Eds.), Gambling Behavior and Problem Gambling. Reno, NV: University of Nevada Press, pp. 241–272.Google Scholar
Carroll, J. J. & Robinson, B. E. (2000). Parentification and depression among adult children of workaholics and adult children of alcoholics. The Family Journal, 8, 360–367.Google Scholar
Chen, C. P. (2006). Improving work–life balance: REBT for workaholic treatment. Research companion to working time and work addiction. In Burke, R. J. (Ed.), Research Companion to Working Time and Work Addiction. Cheltenham, UK: Edward Elgar, pp. 310–329.Google Scholar
Clark, M. A., Michel, J. S., Zhdanova, L., Pui, S. Y. & Baltes, B. B. (2016). All work and no play? A meta-analytic examination of the correlates and outcomes of workaholism. Journal of Management, 42(7), 1836–1873.Google Scholar
De Carlo, N. A., Falco, A., Pierro, A., et al. (2014). Regulatory mode orientations and well-being in an organizational setting: the differential mediating roles of workaholism and work engagement. Journal of Applied Social Psychology, 44, 725–738.Google Scholar
de Jonge, J., Shimazu, A. & Dollard, M. (2018). Short-term and long-term effects of off-job activities on recovery and sleep: A two-wave panel study among health care employees. International Journal of Environmental Research and Public Health, 15(9), 2044.Google Scholar
Del Líbano, M., Llorens, S., Salanova, M. & Schaufeli, W. B. (2012). About the dark and bright sides of self-efficacy: Workaholism and work engagement. Spanish Journal of Psychology, 15(2), 688–701.Google Scholar
Flowers, C. P. & Robinson, B. (2002). A structural and discriminant analysis of the work addiction risk test. Educational and Psychological Measurement, 62, 517–526.Google Scholar
Grant, J. E., Potenza, M. N., Weinstein, A. & Gorelick, D. A. (2010). Introduction to behavioral addictions. American Journal of Drug and Alcohol Abuse, 36, 233–241.Google Scholar
Griffiths, M. D. (2002). Gambling and Gaming Addictions in Adolescence. Leicester: BPS Blackwell.Google Scholar
Griffiths, M. D. (2005). A components model of addiction within a biopsychological framework. Journal of Substance Use, 10, 191–197.Google Scholar
Griffiths, M. D. (2011). Workaholism: A 21st century addiction. The Psychologist: Bulletin of the British Psychological Society, 24, 740–744.Google Scholar
Griffiths, M. D. & Karanika-Murray, M. (2012). Contextualising over-engagement in work: Towards a more global understanding of workaholism as an addiction. Journal of Behavioral Addictions, 1(3), 87–95.Google Scholar
Griffiths, M. D., Demetrovics, Z. & Atroszko, P. A. (2018). Ten myths about work addiction. Journal of Behavioral Addictions, 7(4), 845–857.Google Scholar
Hakanen, J. & Peeters, M. (2015). How do work engagement, workaholism, and the work-to-family interface affect each other? A 7-year follow-up study. Journal of Occupational and Environmental Medicine, 57(6), 601–609.Google Scholar
Hamermesh, D. S. & Slemrod, J. B. (2008). The economics of workaholism: We should not have worked on this paper. The BE Journal of Economic Analysis & Policy, 8(1). doi:10.2202/1935-1682.1793Google Scholar
Kanai, A. & Mitsuru, M. (2004). Effects of economic environmental changes on job demands and workaholism in Japan. Journal of Organizational Change Management, 17, 537–548.Google Scholar
Kelliher, C. & Anderson, D. (2010). Doing more with less? Flexible working practices and the intensification of work. Human Relations, 63(1), 83–106.Google Scholar
McMillan, L. H. W., Brady, E. C., O’Driscoll, M. P. & Marsh, N. V. (2002). A multifaceted validation study of Spence and Robbins’ (1992) workaholism battery. Journal of Occupational and Organisational Psychology, 75, 357–368.Google Scholar
Molino, M., Bakker, A. B. & Ghislieri, C. (2016). The role of workaholism in the job demands-resources model. Anxiety, Stress, & Coping, 29, 400–414.Google Scholar
Mudrack, P. E. (2006). Understanding workaholism: The case for behavioral tendencies. In Burke, R. J. (Ed.), Research Companion to Working Time and Work Addiction. Northampton, MA: Edward Elgar Publishing, pp. 108–128.Google Scholar
Ng, T. W. H., Sorensen, K. L. & Feldman, D. C. (2007). Dimensions, antecedents, and consequences of workaholism: A conceptual integration and extension. Journal of Organizational Behavior, 28, 111–136.Google Scholar
Oates, W. (1971). Confessions of a Workaholic: The Facts about Work Addiction. New York: World.Google Scholar
Orford, J. (2001). Conceptualizing addiction: Addiction as excessive appetite. Addiction, 96, 15–31.Google Scholar
Piotrowski, C. & Vodanovich, S. J. (2008). The Workaholism Syndrome: An emerging issue in the psychological literature. Journal of Instructional Psychology, 35(1), 103–105.Google Scholar
Quinones, C. (2016). The 'always on' workplace: Risks, opportunities and how to make it work. HR Magazine, February 16. Available at: www.hrmagazine.co.uk/article-details/the-always-on-workplace-risks-opportunities-and-how-to-make-it-workGoogle Scholar
Quinones, C. (2017). Does intense ICT use after work help or hinder psychological recovery? The shifting landscape of work and working lives. Conference paper number: CIPD/ARC/2016/1 retrieved November 1, 2018, from: www.cipd.co.uk/learn/events-networks/applied-research-conferenceGoogle Scholar
Quinones, C. & Griffiths, M. (2015). Addiction to work: A critical review of the workaholism construct and recommendations for assessment. Journal of Psychiatric Nursing, 53(10), 48–59.Google Scholar
Quinones, C. & Griffiths, M. D. (2019). Reducing compulsive Internet use and anxiety symptoms via two brief interventions: A comparison between mindfulness and gradual muscle relaxation. Journal of Behavioral Addictions, 8(3), 530–536.Google Scholar
Quinones, C., Griffiths, M. & Kakabadse, N. (2016). Compulsive Internet use and workaholism: An exploratory two-wave longitudinal study. Computers in Human Behaviour, 60, 492–499.Google Scholar
Reinarman, C. & Granfield, R. (2015). Addiction is not just a brain disease: Critical studies of addiction. In Granfield, R. & Reinarman, C. (Eds.), Expanding Addictions. Critical Essays. New York: Routledge, pp. 1–21.Google Scholar
Robinson, B. E. (1999). The Work Addiction Risk Test: Development of a tentative measure of workaholism. Perceptual and Motor Skills, 88, 199–210.Google Scholar
Robinson, B. E. (2013). Chained to the Desk: A Guidebook for Workaholics, their Partners and Children, and the Clinicians who Treat Them (3rd edition). New York: New York University PressGoogle Scholar
Robinson, B. E., Carroll, J. J. & Flowers, C. (2001). Marital estrangement, positive affect, and locus of control among spouses of workaholics and spouses of nonworkaholics: A national study. American Journal of Family Therapy, 29, 397–410.Google Scholar
Sharone, O. (2004). Engineering overwork: Bell-curve management at a high-tech firm. In Fuchs Epstein, C., & Kalleberg, A. L. (Eds.), Fighting for Time: Shifting Boundaries of Work and Social Life. New York: Russell Sage Foundation, pp. 191–218.Google Scholar
Schaufeli, W. B., Bakker, A. B., van der Heijden, F. M. M. A. & Prins, J. T. (2009a). Workaholism among medical residents: It is the combination of working excessively and compulsively that counts. International Journal of Stress Management, 16, 249–272.Google Scholar
Schaufeli, W. B., Shimazu, A. & Taris, T. W. (2009b). Being driven to work excessively hard: The evaluation of a two-factor measure of workaholism in the Netherlands and Japan. Cross-Cultural Research, 43, 320–348.Google Scholar
Schaufeli, W. B., Taris, T. W. & Bakker, A. (2006). Dr. Jekyll and Mr. Hide: On the differences between work engagement and workaholism. In Burke, R. J. (Ed.), Research Companion to Working Time and Work Addiction. Northampton, MA: Edward Elgar, pp. 193–217.Google Scholar
Schwartz, S. H. (2010). Basic values: How they motivate and inhibit prosocial behavior. In Mikulincer, M. & Shaver, P. R. (Eds.), Prosocial Motives, Emotions, and Behavior: The Better Angels of our Nature. Washington, DC: American Psychological Association, pp. 221–241.Google Scholar
Shimazu, A., Schaufeli, W. B., Kubota, K. & Kawakam, N. (2012). Do workaholism and work engagement predict employee well-being and performance in opposite directions? Industrial Health, 50, 316–321.Google Scholar
Shimazu, A., Schaufeli, W. B., Kamiyama, K. & Kawakami, N. (2015). Workaholism vs. work engagement: The two different predictors of future well-being and performance. International Journal of Behavioral Medicine, 22(1),18–23.Google Scholar
Shonin, E., Van Gordon, W. & Griffiths, M. D. (2014). The treatment of workaholism with meditation awareness training: A case study. Explore: The Journal of Science and Healing, 10(3), 193–195.Google Scholar
Snir, R. & Harpaz, I. (2012). Beyond workaholism: Towards a general model of heavy work investment. Human Resource Management Review, 22, 232–243.Google Scholar
Spence, J. T. & Robbins, A. S. (1992). Workaholism: Definition, measurement, and preliminary results. Journal of Personality Assessment, 58, 160–178.Google Scholar
Suissa, A. J. (2014). Cyberaddictions: Toward a psychosocial perspective. Addictive Behaviors, 39, 1914–1918.Google Scholar
Sussman, S. (2012). Workaholism: A review. Journal of Addiction Research and Therapy, S6, 1–10. doi:10.4172/2155-6105.S6-001Google Scholar
Sussman, S. (2017). Substance and Behavioral Addictions: Concepts, Causes, and Cures. Cambridge: Cambridge University Press.Google Scholar
Sussman, S. & Pakdaman, S. (2020). Appetitive needs and addiction. In Sussman, S. (Ed.), The Cambridge Handbook of Substance and Behavioral Addictions. Cambridge, UK: Cambridge University Press, pp. 3–12.Google Scholar
Sussman, S., Arpawong, T. E. M., Sun, P., et al. (2014). Prevalence and co-occurrence of addictive behaviors among former alternative high school youth. Journal of Behavioral Addictions, 3(1), 33–40.Google Scholar
Sussman, S., Lisha, N. & Griffiths, M. (2011). Prevalence of the addictions: A problem of the majority or the minority? Evaluation and the Health Professions, 34(1), 3–56.Google Scholar
Van Wijhe, C. I., Peeters, M. C. & Schaufeli, W. B. (2014). Enough is enough: Cognitive antecedents of workaholism and its aftermath. Human Resource Management, 53(1), 157–177.Google Scholar
Van Wijhe, C. I., Schaufeli, W. & Peeters, M. C. W. (2010). Understanding and treating workaholism: Setting the stage for successful interventions. In Cooper, C. L. & Burke, R. J. (Eds.), Psychological and Behavioural Risks at Work. Farham: Ashgate, pp. 107–134.Google Scholar
Van Beek, I., Hu, Q., Schaufeli, W. B., Taris, T. W. & Schreurs, B. H. J. (2012). For fun, love, or money: What drives workaholic, engaged, and burned-out employees at work? Applied Psychology, 61, 30–55.Google Scholar
Van den Broeck, A., Schreurs, B., De Witte, H., et al. (2011). Understanding workaholics’ motivations: A self-determination perspective. Applied Psychology, 60, 600–621.Google Scholar
Van Der Linden, M. (2015). Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research: Addictions as a psychosocial and cultural construction. Journal of Behavioral Addictions, 4(3), 145–147.Google Scholar
Villella, C., Martinotti, G., Di Nicola,  M., et al. (2011). Behavioural addictions in adolescents and young adults: Results from a prevalence study. Journal of Gambling Studies, 27, 203–214.Google Scholar
Widyanto, L. & Griffiths, M. D. (2006). Internet addiction: A critical review. International Journal of Mental Health and Addiction, 4, 31–51.Google Scholar
Yaniv, G. (2011). Workaholism and marital estrangement: A rational-choice perspective. Mathematical Social Sciences, 61, 104–108.Google Scholar

References

Aarseth, E., Bean, A. M., Boonen, H., et al. (2017). Scholars' open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal. Journal of Behavioral Addiction, 6(3), 267–270.Google Scholar
American Psychiatric Association [APA] (2013). Diagnostic and Statistical Manual of Mental Disorders - Text Revision (5th edition). Arlington, VA: American Psychiatric Publishing.Google Scholar
Beard, K. W. (2005). Internet Addiction: A review of current assessment techniques and potential assessment questions. CyberPsychology & Behavior, 8(1), 7–14.Google Scholar
Block, J. (2008). Issues for DSM-V: Internet addiction. American Journal of Psychiatry, 165(3), 306–307.Google Scholar
Choi, J. S., King, D. L. & Jung, Y. C. (2019). Editorial: Neurobiological perspectives in behavioral addiction. Frontiers in Psychiatry, 10(3). https://doi.org/10.3389/fpsyt.2019.00003Google Scholar
Christakis, D. (2010). Internet addiction: A 21st century epidemic? BMC Medicine, 8(1), 61.Google Scholar
Davis, R. A. (2001). A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17(2), 187–195.Google Scholar
Du, Y. S., Jiang, W. Q. & Vance, A. (2010). Longer term effect of randomized, controlled group cognitive behavioural therapy for Internet addiction in adolescent students in Shanghai. Australian and New Zealand Journal of Psychiatry, 44(2), 129–134.Google Scholar
Gentile, D. (2009). Pathological video-game use among youth ages 8–18: A national study. Psychological Science, 20(5), 594–602.Google Scholar
Graham, J. M. Jr. (2014). Narrative therapy for treating video game addiction. International Journal of Mental Health and Addiction, 12, 701–707.Google Scholar
Griffiths, M.D. (1999). Internet addiction: Internet fuels other addictions. Student British Medical Journal, 7, 428–429.Google Scholar
Griffiths, M. D. (2000). Internet addiction – Time to be taken seriously? Addiction Research, 8(5), 413–418.Google Scholar
Griffiths, M. D. & Pontes, H. M. (2014). Internet Addiction Disorder and Internet Gaming Disorder are not the same. Journal of Addiction Research & Therapy, 5(4), e124.Google Scholar
Griffiths, M. D. & Szabo, A. (2014). Is excessive online usage a function of medium or activity? An empirical pilot study. Journal of Behavioral Addictions, 3(1), 74–77.Google Scholar
Griffiths, M. D., King, D. L. & Demetrovics, Z. (2014). DSM-5 Internet Gaming Disorder needs a unified approach to assessment. Neuropsychiatry, 4(1), 1–4.Google Scholar
Griffiths, M. D., Király, O., Pontes, H. M. & Demetrovics, Z. (2015). An overview of problematic gaming. In Aboujaoude, E. & Starcevic, V. (Eds.), Mental Health in the Digital Age: Grave Dangers, Great Promise. Oxford: Oxford University Press, pp. 27–45.Google Scholar
Griffiths, M. D., Van Rooij, A., Kardefelt-Winther, D., et al. (2016). Working towards an international consensus on criteria for assessing Internet gaming disorder: A critical commentary on Petry et al. (2014). Addiction, 111, 167–175.Google Scholar
Han, D. H., Kim, S. M. & Renshaw, P. F. (2015). Functional brain changes in response to treatment of Internet Gaming Disorder. In Montag, C. & Reuter, M. (Eds.), Internet Addiction. Springer International Publishing, pp. 77–91.Google Scholar
Jiménez-Murcia, S., Fernández-Aranda, F., Granero, R., et al. (2015). Nuevas tecnologías como estrategia terapéutica complementaria para el Transtorno de Juego [New technologies as a complimentary therapeutic strategy for the treatment of Internet Gaming Disorder]. Aloma: Revista de Psicologia, Ciències de l'Educació i de l'Esport, 33(2), 59–66.Google Scholar
King, D. L., Delfabbro, P. H. & Griffiths, M. D. (2012). Clinical interventions for technology-based problems: Excessive Internet and video game use. Journal of Cognitive Psychotherapy: An International Quarterly, 26(1), 43–56.Google Scholar
King, D. L., Delfabbro, P. H., Griffiths, M. D. & Gradisar, M. (2011). Assessing clinical trials of Internet addiction treatment: A systematic review and CONSORT evaluation. Clinical Psychology Review, 31(7), 1110–1116.Google Scholar
King, D. L., Haagsma, M. C., Delfabbro, P. H., Gradisar, M. S. & Griffiths, M. D. (2013). Toward a consensus definition of pathological video-gaming: A systematic review of psychometric assessment tools. Clinical Psychology Review, 33(3), 331–342.Google Scholar
Király, O., Griffiths, M. D. & Demetrovics, Z. (2015). Internet Gaming Disorder and the DSM-5: Conceptualization, debates, and controversies. Current Addiction Reports, 2(3), 254–262.Google Scholar
Király, O., Griffiths, M. D., Urbán, R., et al. (2014). Problematic internet use and problematic online gaming are not the same: Findings from a large nationally representative adolescent sample. Cyberpsychology, Behavior, and Social Networking, 17(12), 749–754.Google Scholar
Király, O., Sleczka, P., Pontes, H. M., et al. (2017). Validation of the ten-item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria. Addictive Behaviors, 64, 253–260.Google Scholar
Ko, C. H., Yen, J. Y., Chen, S. H., et al. (2014). Evaluation of the diagnostic criteria of Internet Gaming Disorder in the DSM-5 among young adults in Taiwan. Journal of Psychiatric Research, 53(6), 103–110.Google Scholar
Koronczai, B., Urbán, R., Kökönyei, G., et al. (2011). Confirmation of the three-factor model of problematic internet use on off-line adolescent and adult samples. Cyberpsychology, Behavior, and Social Networking, 14(11), 657–664.Google Scholar
Kuss, D. J. & Griffiths, M. D. (2015). Internet Addiction in Psychotherapy. London: Palgrave.Google Scholar
Kuss, D. J. & Lopez-Fernandez, O. (2016). Internet addiction and problematic Internet use: A systematic review of clinical research. World Journal of Psychiatry, 6(1), 143–176.Google Scholar
Kuss, D. J. & Pontes, H. M. (2019). Internet Addiction. Advances in Psychotherapy – Evidence-Based Practice (Volume 47). Hogrefe.Google Scholar
Kuss, D. J., Griffiths, M. D., Karila, L. & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 4026–4052.Google Scholar
Kuss, D. J., Pontes, H. M. & Griffiths, M. D. (2018). Neurobiological correlates in Internet Gaming Disorder: A systematic review. Frontiers in Psychiatry, 9, 166.Google Scholar
Kuss, D. J., Throuvala, M., Pontes, H. M., et al. (2019). Tackling digital and gaming addiction: A challenge for the 21st Century. Report submitted to the UK Parliament’s Select Committee on Digital, Culture, Media and Sport relating to Immersive and Addictive Technologies. Nottingham: Nottingham Trent University.Google Scholar
Laier, C., Wegmann, E. & Brand, M. (2018). Personality and cognition in gamers: Avoidance expectancies mediate the relationship between maladaptive personality traits and symptoms of Internet-Gaming Disorder. Frontiers in Psychiatry, 9, 304.Google Scholar
Lemmens, J. S., Valkenburg, P. M. & Gentile, D.A. (2015). The Internet Gaming Disorder Scale. Psychological Assessment, 27(2), 567–582.Google Scholar
Liu, Q-X., Fang, X-Y., Yan, N., et al. (2015). Multi-family group therapy for adolescent Internet addiction: Exploring the underlying mechanisms. Addictive Behaviors, 42, 1–8.Google Scholar
Meng, Y., Deng, W., Wang, H., Guo, W. & Li, T. (2014). The prefrontal dysfunction in individuals with Internet Gaming Disorder: A meta-analysis of functional magnetic resonance imaging studies. Addiction Biology, 20(4), 799–808.Google Scholar
Montag, C., Bey, K., Sha, P., et al. (2014). Is it meaningful to distinguish between generalized and specific internet addiction? Evidence from a cross-cultural study from Germany, Sweden, Taiwan and China. Asia-Pacific Psychiatry, 7(1), 20–26.Google Scholar
Müller, K. W., Janikian, M., Dreier, M., et al. (2015). Regular gaming behavior and internet gaming disorder in European adolescents: Results from a cross-national representative survey of prevalence, predictors, and psychopathological correlates. European Child and Adolescent Psychiatry, 24(5), 565–574.Google Scholar
Myrseth, H. & Notelaers, G. (2018). A latent class approach for classifying the problem and disordered gamers in a group of adolescence. Frontiers in Psychology, 9(2273). doi: 10.3389/fpsyg.2018.02273Google Scholar
Pallesen, S., Lorvik, I. M., Bu, E. H. & Molde, H. (2015). An exploratory study investigating the effects of a treatment manual for video game addiction. Psychological Reports, 117(2), 490–495.Google Scholar
Petry, N. M. & O’Brien, C. P. (2013). Internet gaming disorder and the DSM-5. Addiction, 108(7), 1186–1187.Google Scholar
Petry, N. M., Rehbein, F., Gentile, D. A., et al. (2014). An international consensus for assessing internet gaming disorder using the new DSM‐5 approach. Addiction, 109(9), 1399–1406.Google Scholar
Pies, R. (2009). Should DSM-V Designate “Internet Addiction” a Mental Disorder? Psychiatry (Edgmont), 6(2), 31–37.Google Scholar
Poddar, S., Sayeed, N. & Mitra, S. (2015). Internet Gaming Disorder: Application of motivational enhancement therapy principles in treatment. Indian Journal of Psychiatry, 57(1), 100–101.Google Scholar
Pontes, H. M. & Griffiths, M. D. (2015a). New concepts, old known issues: The DSM-5 and Internet Gaming Disorder and its assessment. In Bishop, J. (Ed.), Psychological and Social Implications Surrounding Internet and Gaming Addiction. Hershey, PA: Information Science Reference, pp. 16–30.Google Scholar
Pontes, H. & Griffiths, M.D. (2015b). Measuring DSM-5 Internet Gaming Disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137–143.Google Scholar
Pontes, H. M. & Griffiths, M. D. (2015c). Internet Gaming Disorder and its associated cognitions and cognitive-related impairments: A systematic review using PRISMA guidelines. Revista Argentina de Ciencias del Comportamiento, 7(3), 102–118.Google Scholar
Pontes, H. M. & Patrão, I. M. (2014). Estudo exploratório sobre as motivações percebidas no uso excessivo da Internet em adolescentes e jovens adultos [An exploratory study on the perceived motivations underpinning excessive Internet use among adolescents and young adults]. Psychology, Community & Health, 3(2), 90–102.Google Scholar
Pontes, H. M., Kuss, D. J. & Griffiths, M. D. (2015). Clinical psychology of Internet addiction: A review of its conceptualization, prevalence, neuronal processes, and implications for treatment. Neuroscience and Neuroeconomics, 4, 11–23.Google Scholar
Pontes, H. M., Kuss, D. J. & Griffiths, M. D. (2017). Psychometric assessment of Internet Gaming Disorder in neuroimaging studies: A systematic review. In Montag, C. & Reuter, M. (Eds.), Internet Addiction: Neuroscientific Approaches and Therapeutical Implications Including Smartphone Addiction. Cham: Springer International Publishing, pp. 181–208.Google Scholar
Pontes, H. M., Macur, M. & Griffiths, M. D. (2016). Internet Gaming Disorder among Slovenian primary schoolchildren: Findings from a nationally representative sample of adolescents. Journal of Behavioral Addictions, 5, 304–310.Google Scholar
Pontes, H. M., Szabo, A. & Griffiths, M. D. (2015). The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19–25.Google Scholar
Przepiórka, A. M., Blachnio, A., Miziak, B. & Czuczwar, S. J. (2014). Clinical approaches to treatment of Internet addiction. Pharmacological Reports, 66(2), 187–191.Google Scholar
Reed, G. M., First, M. B., Kogan, C. S., et al. (2019). Innovations and changes in the ICD‐11 classification of mental, behavioural and neurodevelopmental disorders. World Psychiatry, 18(1), 3–19.Google Scholar
Rehbein, F. & Mößle, T. (2013). Video game and internet addiction: Is there a need for differentiation? SUCHT-Zeitschrift für Wissenschaft und Praxis/Journal of Addiction Research and Practice, 59(3), 129–142.Google Scholar
Rehbein, F., Kliem, S., Baier, D., Mößle, T. & Petry, N. M. (2015). Prevalence of Internet Gaming Disorder in German adolescents: Diagnostic contribution of the nine DSM-5 criteria in a state-wide representative sample. Addiction, 110(5), 842–851.Google Scholar
Sachdeva, A. & Verma, R. (2015). Internet gaming addiction: A technological hazard. International Journal of High Risk Behaviors and Addiction, 4(4), e26359.Google Scholar
Saunders, J. B., Hao, W., Long, J., et al. (2017). Gaming disorder: Its delineation as an important condition for diagnosis, management and prevention. Journal of Behavioral Addictions, 6, 271–279.Google Scholar
Shaffer, H. J., LaPlante, D. A., LaBrie, R. A., et al. (2004). Toward a syndrome model of addiction: Multiple expressions, common etiology. Harvard Review of Psychiatry, 12(6), 367–374.Google Scholar
Spechler, P. A., Chaarani, B., Hudson, K. E., et al. (2016). Response inhibition and addiction medicine: From use to abstinence. Progress in Brain Research, 223, 143–164.Google Scholar
Torres-Rodríguez, A. & Carbonell, X. (2015). Adicción a los videjuegos en línea: tratamiento mediante el programa PIPATIC [Online Gaming Addiction: The PIPATIC treatement program]. Aloma: Revista de Psicologia, Ciències de l'Educació i de l'Esport, 33(2), 67–75.Google Scholar
Torres-Rodriguez, A., Griffiths, M. D. & Carbonell, X. (2018a). The treatment of Internet Gaming Disorder: A brief overview of the PIPATIC program. International Journal of Mental Health and Addiction, 16, 1000–1015.Google Scholar
Torres-Rodriguez, A., Griffiths, M. D., Carbonell, X. Farriols-Hernando, N. & Torres-Jimenez, E. (2017). Internet gaming disorder treatment: A case study evaluation of four adolescent problematic gamers. International Journal of Mental Health and Addiction. Epub ahead of print. https://doi.org/10.1007/s11469-017-9845-9Google Scholar
Torres-Rodriguez, A., Griffiths, M. D., Carbonell, X. & Oberst, U. (2018b). Psychological characteristics of an adolescent clinical sample with Internet Gaming Disorder. Journal of Behavioral Addictions, 7, 707–718.Google Scholar
Torres-Rodriguez, A., Griffiths, M. D., Carbonell, X. & Oberst, U. (2018c). Treatment effectiveness of a specialized psychotherapy program for Internet Gaming Disorder. Journal of Behavioral Addictions, 7, 939–952.Google Scholar
van Rooij, A. J., Schoenmakers, T. M. & van de Mheen, D. (2017). Clinical validation of the C-VAT 2.0 assessment tool for gaming disorder: A sensitivity analysis of the proposed DSM-5 criteria and the clinical characteristics of young patients with ‘video game addiction’. Addictive Behaviors, 64, 269–274.Google Scholar
Winkler, A., Dörsing, B., Rief, W., Shen, Y. & Glombiewski, J. A. (2013). Treatment of Internet addiction: A meta-analysis. Clinical Psychology Review, 33(2), 317–329.Google Scholar
Wittek, C. T., Finserås, T. R., Pallesen, S., et al. (2016). Prevalence and predictors of video game addiction: A study based on a national representative sample of gamers. International Journal of Mental Health and Addiction, 14, 672–686.Google Scholar
World Health Organization (2018). Gaming disorder. Retrieved from http://id.who.int/icd/entity/1448597234. Accessed by February 15, 2019. (Archived by WebCite at www.webcitation.org/6m0iJOU1Q)Google Scholar
Wu, A. M. S., Chen, J. H., Tong, K. K., Yu, S. & Lau, J. T. F. (2018). Prevalence and associated factors of Internet gaming disorder among community dwelling adults in Macao, China. Journal of Behavioral Addictions, 7(1), 62–69.Google Scholar
Young, K.S. (1999). Internet Addiction: Symptoms, Evaluation and Treatment. Innovations in Clinical Practice: A Source Book (Volume 17). Sarasota, FL: Professional Resource Press, pp. 19–31.Google Scholar
Zhu, T.-M., Jin, R.-J., Zhong, X.-M., Chen, J. & Li, H. (2008). Paper in Chinese [Effects of electroacupuncture combined with psychologic interference on anxiety state and serum NE content in the patient of internet addiction disorder]. Zhongguo Zhen Jiu, 28(8), 561–564.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Prevention and Treatment
  • Edited by Steve Sussman, University of Southern California
  • Book: The Cambridge Handbook of Substance and Behavioral Addictions
  • Online publication: 13 July 2020
  • Chapter DOI: https://doi.org/10.1017/9781108632591.020
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Prevention and Treatment
  • Edited by Steve Sussman, University of Southern California
  • Book: The Cambridge Handbook of Substance and Behavioral Addictions
  • Online publication: 13 July 2020
  • Chapter DOI: https://doi.org/10.1017/9781108632591.020
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Prevention and Treatment
  • Edited by Steve Sussman, University of Southern California
  • Book: The Cambridge Handbook of Substance and Behavioral Addictions
  • Online publication: 13 July 2020
  • Chapter DOI: https://doi.org/10.1017/9781108632591.020
Available formats
×