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-gbm5v Total loading time: 0 Render date: 2024-12-25T14:16:38.898Z Has data issue: false hasContentIssue false

Part II - Meso Level

Understanding and Promoting Individual Behavior Change within Natural Environments

Published online by Cambridge University Press:  23 December 2021

Edited by
Jalie A. Tucker  and
Katie Witkiewitz
Jalie A. Tucker
Affiliation:
University of Florida
Katie Witkiewitz
Affiliation:
University of New Mexico
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
Dynamic Pathways to Recovery from Alcohol Use Disorder
Meaning and Methods
 , pp. 157 - 300
Publisher: Cambridge University Press
Print publication year: 2022

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

Acuff, S. F., Tucker, J. A., & Murphy, J. G. (2020). Behavioral economics of substance misuse: Understanding and reducing misuse during the COVID-19 pandemic. Experimental and Clinical Psychopharmacology. Advance online publication. https://doi.org/10.1037/pha0000431Google Scholar
Ainslie, G., & Herrnstein, R. J. (1981). Preference reversal and delayed reinforcement. Animal Learning & Behavior, 9(4), 476–482. https://doi.org/10.3758/BF03209777Google Scholar
American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596Google Scholar
Armor, D. J., & Meshkoff, J. E. (1983). Remission among treated and untreated alcoholics. Advances in Substance Abuse, 3, 239–269.Google Scholar
Belus, J. M., Rose, A. L., Anderson, L. S. Joska, J. A. & Myers, B. (2021). The role of reward and reinforcement in understanding alcohol use among adults living with HIV in South Africa. Psychology of Addictive Behaviors, 35(4), 424–431. https://doi.org/10.1037/adb0000728Google Scholar
Bickel, W. K., Johnson, M. W., Koffarnus, M. N., MacKillop, J., & Murphy, J. G. (2014). The behavioral economics of substance use disorders: Reinforcement pathologies and their repair. Annual Review of Clinical Psychology, 10, 641–677. https://doi.org/10.1146/annurev-clinpsy-032813-153724CrossRefGoogle ScholarPubMed
Carroll, M. E., Bickel, W. K., & Higgins, S. T. (2001). Nondrug incentives to treat drug abuse: Laboratory and clinical developments. In Carroll, M. E. & Overmier, J. B. (Eds.), Animal research and human psychological health: Advancing human welfare through behavioral science (pp. 139–154). American Psychological Association.Google Scholar
Chandisarewa, W., Stranix-Chibanda, L., Chirapa, E., Miller, A., Simoyi, M., Mahomva, A., Maldonado, Y., & Shetty, A. K. (2007). Routine offer of antenatal HIV testing (“opt-out” approach) to prevent mother-to-child transmission of HIV in urban Zimbabwe. Bulletin of the World Health Organization, 85(11), 843–850. https://doi.org/10.2471/blt.06.035188Google Scholar
Cheong, J., Lindstrom, K., Chandler, S. D., & Tucker, J. A. (2020). Utility of different dimensional properties of drinking practices to predict stable low-risk drinking outcomes of natural recovery attempts. Addictive Behaviors, 106, 106387.https://doi.org/10.1016/j.addbeh.2020.106387CrossRefGoogle Scholar
Dawson, B. F., Stinson, F. S., Chou, S. P., Huang, B., & Ruan, W. J. (2005). Alcohol dependence: United States, 2001–2002. Addiction, 100(3), 281–92. https://doi.org/10.1016/j.addbeh.2020.106387Google Scholar
Fan, A. Z., Chou, S. P., Zhang, H., Jung, J., & Grant, B. F. (2019). Prevalence and correlates of past-year recovery from DSM-5 alcohol use disorder: Results from National Epidemiologic Survey on Alcohol and Related Conditions – III. Alcoholism: Clinical and Experimental Research, 43(11), 2406–2420. https://doi.org10.1111/acer.14192Google Scholar
Fillmore, K. M. (1988). Alcohol use across the life course: A critical review of 70 years of international longitudinal research. Addiction Research Foundation.Google Scholar
Herrnstein, R. J. (1970). On the law of effect. Journal of the Experimental Analysis of Behavior, 13(2), 243–266. https://doi.org/10.1901/jeab.1970.13-243Google Scholar
Kelly, J. F., Bergman, B., Hoeppner, B. B., Bilsaint, C., & White, W. L. (2017). Prevalence and pathways of recovery from drug and alcohol problems in the United States population: Implications for practice, research, and policy. Drug and Alcohol Dependence, 181, 162–169. https://doi.org/10.1016/j.drugalcdep.2017.09.028CrossRefGoogle ScholarPubMed
King, M. P., & Tucker, J. A. (2000). Behavior change patterns and strategies distinguishing moderation drinking and abstinence during the natural resolution of alcohol problems without treatment. Psychology of Addictive Behaviors, 14(1), 48–55. https://doi.org/10.1037//0893-164x.14.1.48Google Scholar
Klingemann, H., & Sobell, L. (Eds.) (2007). Promoting self-change from addictive behaviors: Practical implications for policy, prevention, and treatment.Springer Science+Business Media. https://doi.org/10.1007/978-0-387-71287-1Google Scholar
Klingemann, H., Sobell, L., Barker, J., Blomqviist, J., Cloud, W., Ellingstad, T., Fingfeld, D., Granfield, R., Hodgins, D., Hunt, G., Junker, C., Moggi, F., Peele, S., Smart, R., Sobell, M., & Tucker, J. (2001). Promoting self-change from problem substance use: Practical implications, prevention, policy, and treatment .Kluwer Academic.CrossRefGoogle Scholar
Krugman, P., & Wells, R. (2012). Economics and microeconomics (3rd ed.). Worth Publishing.Google Scholar
Loewenstein, G., Brennan, T., & Volpp, K. G. (2007). Asymmetric paternalism to improve health behaviors. Journal of the American Medical Association, 298(20), 2415–2417. https://doi.org/10.1001/jama.298.20.2415Google Scholar
Mariezcurrena, R. (1994). Recovery from addictions without treatment: Literature review. Scandinavian Journal of Behaviour Therapy, 23(13), 1–154. https://doi.org/10.1080/16506079409455971Google Scholar
Marlatt, G. A. (1985). Lifestyle modification. In Marlatt, G. A. & Gordon, J. R. (Eds.), Relapse prevention: Maintenance strategies in the treatment of addictive behaviors (pp. 280–318). Guilford.Google Scholar
Moos, R. H., & Moos, B. S. (2007). Protective resources and long-term recovery from alcohol use disorders. Drug and Alcohol Dependence, 86(1), 46–54. https://doi.org/10.1016/j.drugalcdep.2006.04.015Google Scholar
Murphy, J. G., Dennhardt, A. A., Martens, M. P., Borsari, B. E., Witkiewitz, K., & Meshesha, L. Z. (2019). Randomized clinical trial evaluating the efficacy of a brief alcohol intervention supplemented with a substance-free activity session or relaxation training. Journal of Consulting and Clinical Psychology, 87(7), 657–669. https://doi.org/10.1037/ccp0000412Google Scholar
Murphy, J. G., Dennhardt, A. A., Martens, M. P., Yurasek, A. M., Skidmore, J. R., MacKillop, J., & McDevitt-Murphy, M. E. (2015). Behavioral economic predictors of brief alcohol intervention outcomes. Journal of Consulting and Clinical Psychology, 83, 1033–1043. https://doi.org/10.1037/ccp0000032CrossRefGoogle ScholarPubMed
National Institute on Alcohol Abuse and Alcoholism (2005). Helping patients who drink too much: A clinician’s guide. https://pubs.niaaa.nih.gov/publications/practitioner/cliniciansguide2005/guide.pdfGoogle Scholar
National Institute on Alcohol Abuse and Alcoholism (2020). Alcohol facts and statistics. www.niaaa.nih.gov/alcohol-facts-and-statisticsGoogle Scholar
Petry, N. M., Alessi, S. M., Olmstead, T. A., Rash, C. J., & Zajac, K. (2017). Contingency management treatment for substance use disorders: How far has it come, and where does it need to go? Psychology of Addictive Behaviors, 31(8), 897–906. https://doi.org/10.1037/adb0000287CrossRefGoogle ScholarPubMed
Rachlin, H. (1995). Self-control: Beyond commitment. Behavioral and Brain Sciences, 18(1), 109–159. https://doi.org/10.1017/S0140525X00037602CrossRefGoogle Scholar
Rachlin, H., Battalio, R., Kagel, J., & Green, L. (1981). Maximization theory in behavioral psychology. Behavioral and Brain Sciences, 4(3), 371–388. https://doi.org/10.1017/S0140525X00009407Google Scholar
Robins, L. N. (1993). The sixth Thomas James Okey memorial lecture. Vietnam veterans’ rapid recovery from heroin addition: Fluke or normal expectation? Addiction, 88(8), 1041–1054. https://doi.org/10.1111/j.1360-0443.1993.tb02123.xGoogle Scholar
Rosenberg, H. (1993). Prediction of controlled drinking by alcoholics and problem drinkers. Psychological Bulletin, 113(1), 129–139. https://doi.org/10.1037/0033-2909.113.1.129Google Scholar
Rosenberg, H., Grant, J., & Davis, A. K. (2020). Acceptance of non-abstinence as an outcome goal for individuals diagnosed with substance use disorders: A narrative review of published research. Journal of Studies on Alcohol and Drugs, 81(4), 405–415. https://doi.org/10.15288/jsad.2020.81.405Google Scholar
Room, R. (1977). Measurement and distribution of drinking patterns and problems in general populations. In Edwards, G., Gross, M. S., Keller, M., Moser, J., & Room, R. (Eds.), Alcohol-related disabilities (pp. 61–87). World Health Organization.Google Scholar
Simpson, C. A., Huang, J., Roth, D. L., Chandler, S. D., & Tucker, J. A. (2012). Predictors of utilization of an IVR self-monitoring program by problem drinkers with recent natural resolutions. Drug and Alcohol Dependence, 126(1–2), 111–117. https://doi.org/10.1016/j.drugalcdep.2012.04.022Google Scholar
Simpson, C. A., & Tucker, J. A. (2002). Temporal sequencing of alcohol-related problems, problem recognition, and help-seeking episodes. Addictive Behaviors, 27(5), 659–674. https://doi.org/10.1016/s0306–4603(01)00200-3Google Scholar
Smart, R. G. (1976). Spontaneous recovery in alcoholics: A review and analysis of the available research. Drug and Alcohol Dependence, 1(4), 277–285.  https://doi.org/10.1016/0376-8716(76)90023-5Google Scholar
Sobell, L. C., Cunningham, J. A., & Sobell, M. B. (1996). Recovery from alcohol problems with and without treatment: Prevalence in two population studies. American Journal of Public Health, 86(7), 966–972. https://doi.org/10.2105/ajph.86.7.966Google Scholar
Sobell, L. C., Ellingstad, T. P., & Sobell, M. B. (2000). Natural recovery from alcohol and drug problems: Methodological review of the research with suggestions for future research. Addiction, 95(5), 749–764. https://doi.org/10.1046/j.1360-0443.2000.95574911.xGoogle Scholar
Sobell, L. C., & Sobell, M. B. (1992). Timeline Followback: A technique for assessing self-reported alcohol consumption. In Litten, R. & Allen, J. (Eds.), Measuring alcohol consumption (pp. 41–72). Humana Press.Google Scholar
Sobell, L. C., Sobell, M. B., & Toneatto, T. (1992). Recovery from alcohol problems without treatment. In Heather, N., Miller, W. R., & Greeley, J. (Eds.), Self-control and addictive behaviors (pp. 198–242). Macmillan.Google Scholar
Sobell, L. C., Sobell, M. B., Toneatto, T., & Leo, G. I. (1993). What triggers the resolution of alcohol problems without treatment? Alcoholism: Clinical and Experimental Research, 17(2), 217–224. https://doi.org/10.1111/j.1530-0277.1993.tb00752.xGoogle Scholar
Stall, R., & Biernacki, P. (1986). Spontaneous remission from the problematic use of substances: An inductive model derived from a comparative analysis of the alcohol, opiate, tobacco, and food/obesity literatures. International Journal of the Addictions, 21(1), 1–23. https://doi.org/10.3109/10826088609063434Google Scholar
Tucker, J. A. (2002). Natural resolution of alcohol-related problems. In Allen, J. P., Galanter, M., Deitrich, R., Gallant, D., Gottheil, E., Paredes, A., Rothschild, M., Van Theil, D., Lagressa, D., Allen, J. P., Fuller, R., Litten, R., Eckardt, M., McCaul, M., & Monti, P. (Eds.), Recent developments in alcoholism: Vol. 16. Research on alcoholism treatment (pp. 77–90). Springer. https://doi.org/10.1007/0-306-47939-7_7Google Scholar
Tucker, J. A., Chandler, S. D., & Cheong, J. (2017). Role of choice biases and choice architecture in behavioral economic strategies to reduce addictive behaviors. In Heather, N. & Segal, G. (Eds.), Addiction and choice: Rethinking the relationship (pp. 346–364). Oxford University Press.Google Scholar
Tucker, J. A., Cheong, J., & Chandler, S. D. (2021). Shifts in behavioral allocation patterns as a natural recovery mechanism: Post-resolution expenditure patterns. Alcoholism: Clinical and Experimental Research. https://doi.org/10.1111/acer.14620Google Scholar
Tucker, J. A., Cheong, J., Chandler, S. D. Lambert, B. H., Pietrzak, B., & Kwok, H. (2016). Prospective analysis of behavioral economic predictors of stable moderation drinking among problem drinkers attempting natural recovery. Alcoholism: Clinical and Experimental Research, 40(12), 2676–2084. https://doi.org/10.1111/acer.13245Google Scholar
Tucker, J. A., Cheong, J., James, T. G., Jung, S., & Chandler, S. D. (2020). Pre-resolution drinking problem severity profiles associated with stable moderation outcomes of natural recovery attempts. Alcoholism: Clinical and Experimental Research, 44(3), 738–745. https://doi.org/10.1111/acer.14287CrossRefGoogle Scholar
Tucker, J. A., Foushee, H. R., & Black, B. (2008). Behavioral economic analysis of natural resolution of drinking problems using IVR self-monitoring. Experimental and Clinical Psychopharmacology, 16(4), 332–340. https://doi.org/10.1037.a0012834Google Scholar
Tucker, J. A., Foushee, H. R., Black, B. C., & Roth, D. L. (2007). Agreement between prospective IVR self-monitoring and structured retrospective reports of drinking and contextual variables during natural resolution attempts. Journal of Studies on Alcohol and Drugs, 68(4), 538–542. https://doi.org/10.15288/jsad.2007.68.538Google Scholar
Tucker, J. A., & Gladsjo, J. A. (1993). Help-seeking and recovery by problems drinkers: Characteristics of drinkers who attended Alcoholics Anonymous, formal treatment, or recovered without assistance. Addictive Behaviors, 18(5), 529–542. https://doi.org/10.1016/0306-4603(93)90069-1Google Scholar
Tucker, J. A., & King, M. P. (1999). Resolving alcohol and drug problems: Influences on behavior change and help-seeking processes. In Tucker, J. A., Donovan, D. M., & Marlatt, G. A. (Eds.), Changing addictive behavior: Bridging clinical and public health strategies (pp. 97–126). Guilford.Google Scholar
Tucker, J. A., Roth, D. L., Huang, J., Crawford, M. S., & Simpson, C. A. (2012). Effects of interactive voice response self-monitoring on natural resolution of drinking problems: Utilization and behavioral economic factors. Journal of Studies on Alcohol and Drugs, 73(4), 686–698. https://doi.org/10.15288/jsad.2012.73.686CrossRefGoogle ScholarPubMed
Tucker, J. A., Roth, D. L., Vignolo, M., & Westfall, A. O. (2009). A behavioral economic reward index predicts drinking resolutions: Moderation re-visited and compared with other outcomes. Journal of Consulting and Clinical Psychology, 77(2), 219–228. https://doi.org/10.1037/a0014968CrossRefGoogle Scholar
Tucker, J. A., & Simpson, C. A. (2011). The recovery spectrum: From self-change to seeking treatment. Alcohol Research & Health, 33(4), 371–379.Google ScholarPubMed
Tucker, J. A., Vuchinich, R. E., Black, B. C., & Rippens, P. D. (2006). Significance of a behavioral economic index of reward value in predicting problem drinking resolutions. Journal of Consulting and Clinical Psychology, 74(2), 317–326. https://doi.org/10.1037/0022-006X.74.2.317Google Scholar
Tucker, J. A., Vuchinich, R. E., Harris, C. V., Gavornik, M. G., & Rudd, E. J. (1991). Agreement between subject and collateral reports of alcohol consumption in older adults. Journal of Studies on Alcohol, 52(2), 148–155. https://doi.org/10.15288.jsa.1991.52.148Google Scholar
Tucker, J. A., Vuchinich, R. E., & Pukish, M. A. (1995). Molar environmental contexts surrounding recovery from alcohol problems by treated and untreated problem drinkers. Experimental and Clinical Psychopharmacology, 3, 195–204. https://doi.org/10.1037/1064-1297.3.2.195Google Scholar
Tucker, J. A., Vuchinich, R. E., & Rippens, P. D. (2002a). Predicting natural resolution of alcohol-related problems: A prospective behavioral economic analysis. Experimental and Clinical Psychopharmacology, 10(3), 248–257. https://doi.org/10.1037//1064-1297.10.3.248Google Scholar
Tucker, J. A., Vuchinich, R. E., & Rippens, P. D. (2002b). Environmental contexts surrounding resolution of drinking problems among problem drinkers with different help-seeking experiences. Journal of Studies on Alcohol, 63(3), 334–341. https://doi.org/10.15288/jsa.2002.63.334Google Scholar
Tucker, J. A., Vuchinich, R. E., & Rippens, P. D. (2004). A factor analytic study of influences on patterns of help-seeking among treated and untreated alcohol dependent persons. Journal of Substance Abuse Treatment, 26(3), 237–242. https://doi.org/10.1016/S0740–5472(03)00209-5CrossRefGoogle ScholarPubMed
Vuchinich, R. E. (1995). Alcohol abuse as molar choice: An update of a 1982 proposal. Psychology of Addictive Behaviors, 9(4), 223–235. https://doi.org/10.1037/0893-164X.9.4.223Google Scholar
Vuchinich, R. E., & Heather, N. (Eds.). (2003). Choice, behavioural economics, and addiction. Pergamon/Elsevier Science Inc.Google Scholar
Vuchinich, R. E., & Tucker, J. A. (1996). Life events, alcoholic relapse, and behavioral theories of choice: A prospective analysis. Experimental and Clinical Psychopharmacology, 4(1), 19–28. https://doi.org/10.1016/B978–0-08-044056-9.X5040–4Google Scholar
Vuchinich, R. E., Tucker, J. A., & Harlee, L. (1988). Behavioral assessment. In Donovan, D. M. & Marlatt, G. A. (Eds.), Assessment of addictive behaviours (pp. 51–93). Guilford.Google Scholar
Watson, A. L., &, Sher, K. J. (1998). Resolution of alcohol problems without treatment: Methodological issues and future directions of natural recovery research. Clinical Psychology: Science and Practice, 5(1), 1–18. https://doi.org/10.1111/j.1468-2850.1998.tb00131.xGoogle Scholar
Witkiewitz, K., Montes, K. S., Schwebel, F. J., & Tucker, J. A. (2020). What is recovery? A narrative review of definitions of recovery from alcohol use disorder. Alcohol Research: Current Reviews, 40. https://doi.org/10.35946/arcr.v40.3.01Google Scholar
Witkiewitz, K., & Tucker, J. A. (2020). Abstinence not required: Expanding the definition of recovery from alcohol use disorder. Alcoholism: Clinical and Experimental Research, 44, 36–40. https://doi.org/10.1111/acer.14235CrossRefGoogle ScholarPubMed
Worley, M. J., Shoptaw, S. J., Bickel, W. K., & Ling, W. (2015). Using behavioral economics to predict opioid use during prescription opioid dependence treatment. Drug and Alcohol Dependence, 148, 62–68. https://doi.org/10.1016/j.drugalcdep.2014.12.018CrossRefGoogle ScholarPubMed

References

Acuff, S. F., Dennhardt, A. A., Correia, C. J., & Murphy, J. G. (2019). Measurement of substance-free reinforcement in addiction: A systematic review. Clinical Psychology Review, 70, 79–90. https://doi- org.ezproxy.memphis.edu/10.1016/j.cpr.2019.04.003CrossRefGoogle ScholarPubMed
Alvanzo, A. A., Storr, C. L., Mojtabai, R., Green, K. M., Pacek, L. R., La Flair, L. N., Cullen, B. A., & Crum, R. M. (2014). Gender and race/ethnicity differences for initiation of alcohol-related service use among persons with alcohol dependence. Drug and Alcohol Dependence, 140, 48–55. https://doi.org/10.1016/j.drugalcdep.2014.03.010Google Scholar
Amlung, M., & MacKillop, J. (2011). Delayed reward discounting and alcohol misuse: The roles of response consistency and reward magnitude. Journal of Experimental Psychopathology, 2(3), 418–431. http://doi.org/10.5127/jep.017311Google Scholar
Armitage, C. J. (2009). Effectiveness of experimenter-provided and self-generated implementation intentions to reduce alcohol consumption in a sample of the general population: A randomized exploratory trial. Health Psychology, 28(5), 545–553. https://doi.org/10.1037/a0015984Google Scholar
Ashe, M. L., & Wilson, S. J. (2020). A brief review of choice bundling: A strategy to reduce delay discounting and bolster self-control. Addictive Behaviors Reports, 11, 100262. https://doi.org 10.1016/j.abrep.2020.100262Google Scholar
Barnett, N. P., Celio, M. A., Tidey, J. W., Murphy, J. G., Colby, S. M., & Swift, R. M. (2017). A preliminary randomized controlled trial of contingency management for alcohol use reduction using a transdermal alcohol sensor. Addiction, 112(6), 1025–1035. https://doi.org/10.1111/add.13767Google Scholar
Bickel, W. K., Johnson, M. W., Koffarnus, M. N., MacKillop, J., & Murphy, J. G. (2014). The behavioral economics of substance use disorders: Reinforcement pathologies and their repair. Annual Review of Clinical Psychology, 10(1), 641–677. https://doi.org/10.1146/annurev-clinpsy-032813-153724Google Scholar
Bond, J., Kaskutas, L. A., & Weisner, C. (2003). The persistent influence of social networks and Alcoholics Anonymous on abstinence. Journal of Studies on Alcohol, 64(4), 579–588. https://doi.org/10.15288/jsa.2003.64.579Google Scholar
Bowen, S., Witkiewitz, K., Clifasefi, S. L., Grow, J., Chawla, N., Hsu, S. H., Carroll, H. A., Harrop, E., Collins, S. E., Lustyk, M. K., & Larimer, M. E. (2014). Relative efficacy of mindfulness-based relapse prevention, standard relapse prevention, and treatment as usual for substance use disorders: A randomized clinical trial. JAMA Psychiatry, 71(5), 547–556. https://doi.org/10.1001/jamapsychiatry.2013.4546Google Scholar
Brown, R. A., Abrantes, A. M., Minami, H., Read, J. P., Marcus, B. H., Jakicic, J. M., & Stuart, G. L. (2014). A preliminary, randomized trial of aerobic exercise for alcohol dependence. Journal of Substance Abuse Treatment, 47 ,1–9. http://doi.org/10.1016/j.jsat.2014.02.004Google Scholar
Buscemi, J., Murphy, J. G., Martens, M. P., McDevitt-Murphy, M. E., Dennhardt, A. A., & Skidmore, J. R. (2010). Help-seeking for alcohol-related problems in college students: Correlates and preferred resources. Psychology of Addictive Behaviors, 24(4), 571–580. https://doi.org/10.1037/a0021122CrossRefGoogle ScholarPubMed
Correia, C. J., Benson, T. A., & Carey, K. B. (2005). Decreased substance use following increases in alternative behaviors: A preliminary investigation. Addictive Behaviors, 30(1), 19–27. https://doi.org/10.1016/j.addbeh.2004.04.006Google Scholar
Crescenzo, F. D., Ciabattini, M., D’Alò, G. L., Giorgi, R. D., Giovane, C. D., Cassar, C., Janiri, L., Clark, N., Ostacher, M. J., & Cipriani, A. (2018). Comparative efficacy and acceptability of psychosocial interventions for individuals with cocaine and amphetamine addiction: A systematic review and network meta-analysis. PLOS Medicine, 15(12), e1002715. https://doi.org/10.1371/journal.pmed.1002715Google Scholar
Daughters, S. B., Magidson, J. F., Anand, D., Seitz-Brown, C. J., Chen, Y., & Baker, S. (2018). The effect of a behavioral activation treatment for substance use on post-treatment abstinence: A randomized controlled trial. Addiction, 113(3), 535–544. https://doi.org/10.1111/add.14049CrossRefGoogle ScholarPubMed
Fairbairn, C. E., Sayette, M. A., Aalen, O. O., & Frigessi, A. (2015). Alcohol and emotional contagion: An examination of the spreading of smiles in male and female drinking groups. Clinical Psychological Science, 3(5), 686–701. https://doi.org/10.1177/2167702614548892Google Scholar
Fazzino, T. L., Bjorlie, K., & Lejuez, C. W. (2019). A systematic review of reinforcement-based interventions for substance use: Efficacy, mechanisms of action, and moderators of treatment effects. Journal of Substance Abuse Treatment, 104, 83–96. https://doi.org/10.1016/j.jsat.2019.06.016Google Scholar
Field, M., Heather, N., Murphy, J. G., Stafford, T., Tucker, J. A., & Witkiewitz, K. (2020). Recovery from addiction: Behavioral economics and value-based decision making. Psychology of Addictive Behaviors, 34(1), 182–193. https://doi.org/10.1037/adb0000518Google Scholar
Fucito, L. M., Demartini, K. S., Hanrahan, T. H., Yaggi, H. K., Heffern, C., & Redeker, N. S.. (2017). Using sleep interventions to engage and treat heavy-drinking college students: A randomized pilot study. Alcoholism: Clinical and Experimental Research, 41(4), 798–809. http://doi.org/10.1111/acer.13342Google Scholar
García-Rodríguez, O., Secades-Villa, R., Higgins, S., Fernández Hermida, J., Carballo, J., Errasti Perez, J. M., & Al-Halabí, S. (2009). Effects of voucher-based intervention on abstinence and retention in an outpatient treatment for cocaine addiction: A randomized controlled trial. Experimental and Clinical Psychopharmacology, 17(3), 131–138. https://doi.org/10.1037/a0015963Google Scholar
Garland, E. L. (2016). Mindfulness-Oriented Recovery Enhancement versus CBT for co-occurring substance dependence, traumatic stress, and psychiatric disorders: Proximal outcomes from a pragmatic randomized trial. Behaviour Research and Therapy, 77, 7–16. https://doi.org/10.1016/j.brat.2015.11.01210Google Scholar
Garland, E. L., Hanley, A. W., Riquino, M. R., Reese, S. E., Baker, A. K., Salas, K., Yack, B. P., Bedford, C. E., Bryan, M. A., Atchley, R., Nakamura, Y., Froeliger, B., & Howard, M. O. (2019). Mindfulness-oriented recovery enhancement reduces opioid misuse risk via analgesic and positive psychological mechanisms: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 87(10), 927–940.  https://psycnet.apa.org/doi/10.1037/ccp0000390Google Scholar
Giménez-Meseguer, J., Tortosa-Martínez, J., & Cortell-Tormo, J. M. (2020). The benefits of physical exercise on mental disorders and quality of life in substance use disorders patients: Systematic review and meta-analysis. International Journal of Environmental Research and Public Health, 17(10), 3680. https://doi.org/10.3390/ijerph17103680Google Scholar
Hagger, M. S., Lonsdale, A., Koka, A., Hein, V., Pasi, H., Lintunen, T., & Chatzisarantis, N. L. (2012). An intervention to reduce alcohol consumption in undergraduate students using implementation intentions and mental simulations: A cross-national study. International Journal of Behavioral Medicine, 19(1), 82–96. http://doi.org/10.1007/s12529–011-9163-8Google Scholar
Hennessy, E. A., Tanner-Smith, E. E., Mavridis, D., & Grant, S. P. (2019). Comparative effectiveness of brief alcohol interventions for college students: Results from a network meta-analysis. Prevention Science, 20(5), 715–740. https://doi.org/10.1007/s11121–018-0960-zGoogle Scholar
Higgins, S. T., Heil, S. H., & Lussier, J. P. (2004). Clinical implications of reinforcement as a determinant of substance use disorders. Annual Review of Psychology, 55(1), 431–461. https://doi.org/10.1146/annurev.psych.55.090902.142033CrossRefGoogle ScholarPubMed
Hunt, G. M., & Azrin, N. H. (1973). A community-reinforcement approach to alcoholism. Behavior Research and Therapy, 11(1), 91–104. https://doi.org/10.1016/0005-7967(73)90072-7Google Scholar
James, K., & Jordan, A. (2018). The opioid crisis in black communities. Journal of Law, Medicine & Ethics, 46, 404–421. https://doi.org/10.1177/1073110518782949Google Scholar
Joyner, K. J., Meshesha, L. Z., Dennhardt, A. A., Borsari, B., Martens, M. P., & Murphy, J. G. (2019). High opportunity cost demand as an indicator of weekday drinking and distinctly severe alcohol problems: A behavioral economic analysis. Alcoholism: Clinical and Experimental Research, 43(12), 2607–2619. https://doi.org/10.1111/acer.14206Google Scholar
Joyner, K. J., Pickover, A. M., Soltis, K. E., Dennhardt, A. A., Martens, M. P., & Murphy, J. G. (2016). Deficits in access to reward are associated with college student alcohol use disorder. Alcoholism: Clinical and Experimental Research, 40(12), 2685–2691. https://doi.org/10.1111/acer.13255Google Scholar
Kelly, J. F., Abry, A., Ferri, M., & Humphreys, K. (2020). Alcoholics Anonymous and 12 Step facilitation treatments for alcohol use disorder: A distillation of a 2020 Cochrane review for clinicians and policy makers. Alcohol and Alcoholism, 1–12. https://doi.org/10.1093/alcalc/agaa050Google 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. http://doi.org/10.1111/j.1360-0443.2011.03593.xGoogle Scholar
King, M. P., & Tucker, J. A. (2000). Behavior change patterns and strategies distinguishing moderation drinking and abstinence during the natural resolution of alcohol problems without treatment. Psychology of Addictive Behaviors, 14 , 48–55. https://doi.org/10.1037/0893-164X.14.1.48Google Scholar
Kluwe-Schiavon, B., Viola, T. W., Sanvicente-Vieira, B., Lumertz, F. S., Salum, G. A., Grassi-Oliveira, R., & Quednow, B. B. (2020). Substance related disorders are associated with impaired valuation of delayed gratification and feedback processing: A multilevel meta-analysis and meta-regression. Neuroscience and Biobehavioral Reviews, 108, 295–307. https://doi-org.ezproxy.memphis.edu/10.1016/j.neubiorev.2019.11.016Google Scholar
Koffarnus, M. N., Bickel, W. K., & Kablinger, A. S. (2018). Remote alcohol monitoring to facilitate incentive-based treatment for alcohol use disorder: A randomized trial. Alcoholism: Clinical and Experimental Research, 42(12), 2423–2431. https://doi.org/10.1111/acer.13891Google Scholar
Kristjansson, A.L., Mann, M.J., Sigfusson, J., Thorisdottir, I.E., Allegrante, , & Sigfusdottir, J.P., , I.D. (2020) Development and guiding principles of the Icelandic model for preventing adolescent substance use. Health Promotion Practice, 21(1), 62–69. https://doi.org/10.1177/1524839919849032Google Scholar
Lejuez, C. W., Hopko, D. R. & Hopko, S. D. (2001). A brief behavioral activation treatment for depression: Treatment manual. Behavior Modification, 25, 255–286. https://doi.org/10.1177/0145445501252005Google Scholar
Levin, M., & Hayes, S. C. (2009). ACT, RFT, and contextual behavioral science. In Blackledge, J. T., Ciarrochi, J., & Deane, F. P. (Eds.), Acceptance and commitment therapy: Contemporary theory, research and practice (pp. 1–40). Australian Academic Press.Google Scholar
Levola, J., Pitkänen, T., Kampman, O., & Aalto, M. (2018). The association of alcohol use and quality of life in depressed and non-depressed individuals: A cross-sectional general population study. Quality of Life Research, 27(5), 1217–1226. https://doi.org/10.1007/s11136–017-1741-zGoogle Scholar
Litt, M. D., Kadden, R. M., Kabela-Cormier, E., & Petry, N. M. (2009). Changing network support for drinking: Network support project 2-year follow-up. Journal of Consulting and Clinical Psychology, 77(2), 229–242. https://doi.org/10.1037/a0015252Google Scholar
Litt, M. D., Kadden, R. M., Tennen, H., & Kabela-Cormier, E. (2016). Network support II: Randomized controlled trial of network support treatment and cognitive behavioral therapy for alcohol use disorder. Drug and Alcohol Dependence, 165, 203–212. https://doi.org/10.1016/j.drugalcdep.2016.06.010Google Scholar
Magidson, J. F., Andersen, L. S., Satinsky, E. N., Myers, B., Kagee, A., Anvari, M., & Joska, J. A. (2020). “Too much boredom isn’t a good thing”: Adapting behavioral activation for substance use in a resource-limited South African HIV care setting. Psychotherapy, 57(1), 107–118. https://doi.org/10.1037/pst0000257Google Scholar
Magill, M., Ray, L., Kiluk, B., Hoadley, A., Bernstein, M., Tonigan, J.S., & Carroll, K. (2020). A meta-analysis of cognitive-behavioral therapy for alcohol or other drug use disorders: Treatment efficacy by contrast condition. Journal of Consulting and Clinical Psychology, 87(12), 1093–1105. https://doi.org/10.1037/ccp0000447Google Scholar
Martínez-Vispo, C., Martínez, Ú., López-Durán, A., del Río, E. F., & Becoña, E. (2018). Effects of behavioural activation on substance use and depression: A systematic review. Substance Abuse Treatment, Prevention, and Policy 13, 36 (2018). https://doi.org/10.1186/s13011–018-0173-2Google Scholar
Meinzer, M. C., Oddo, L. E., Vasko, J. M., Murphy, J. G., Iwamoto, D., Lejuez, C. W., & Chronis-Tuscano, A. (2021). A novel intervention to reduce alcohol-related negative consequences in college students with ADHD. Psychology of Addictive Behaviors. https://doi.org/10.1037/adb0000663Google Scholar
Mellis, A. M., Snider, S. E., Deshpande, H. U., LaConte, S. M., & Bickel, W. K. (2019). Practicing prospection promotes patience: Repeated episodic future thinking cumulatively reduces delay discounting. Drug and Alcohol Dependence, 204, 107507. https://doi.org/10.1016/j.drugalcdep.2019.06.010Google Scholar
Meshesha, L. Z., Soltis, K. E., Wise, E. A., Rohsenow, D. J., Witkiewitz, K., & Murphy, J. G.. (2020). Pilot trial investigating a brief behavioral economic intervention as an adjunctive treatment for alcohol use disorder. Journal of Substance Abuse Treatment, 113 , 108002. http://doi.org/10.1016/j.jsat.2020.108002Google Scholar
Meyers, R. J., Roozen, H. G., & Smith, J. E. (2011). The community reinforcement approach: An update of the evidence. Alcohol Research & Health, 33(4), 380–388.Google Scholar
McKay, J. R. (2017). Making the hard work of recovery more attractive for those with substance use disorders. Addiction, 112(5), 751–757. https://doi.org/10.1111/add.13502Google 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. https://doi.org/10.1016/j.addbeh.2017.11.010Google Scholar
Murphy, J. G., Correia, C. J., Colby, S. M., & Vuchinich, R. E. (2005). Using behavioral theories of choice to predict drinking outcomes following a brief intervention. Experimental and Clinical Psychopharmacology, 13 , 93–101. https://doi.org/10.1037/1064-1297.13.2.93Google Scholar
Murphy, J. G., Dennhardt, A. A., Martens, M. P., Borsari, B., Witkiewitz, K., & Meshesha, L. Z. (2019). A randomized clinical trial evaluating the efficacy of a brief alcohol intervention supplemented with a substance-free activity session or relaxation training. Journal of Consulting and Clinical Psychology, 87(7), 657–669. https://doi.org/10.1037/ccp0000412Google Scholar
Murphy, J. G., Dennhardt, A. A., Skidmore, J. R., Borsari, B., Barnett, N. P., Colby, S. M., & Martens, M. P. (2012). A randomized controlled trial of a behavioral economic supplement to brief motivational interventions for college drinking. Journal of Consulting and Clinical Psychology, 80(5), 876–886. http://doi.org/10.1037/a0028763Google Scholar
Murphy, J. G., McDevitt-Murphy, M. E., & Barnett, N. P. (2005). Drink and be merry? Gender, life satisfaction, and alcohol consumption among college students. Psychology of Addictive Behaviors, 19(2), 184. https://doi.org/10.1037/0893-164X.19.2.184Google Scholar
Murphy, J. G., Yurasek, A. M., Dennhardt, A. A., Skidmore, J. R., McDevitt-Murphy, M. E., MacKillop, J., & Martens, M. P. (2013). Symptoms of depression and PTSD are associated with elevated alcohol demand. Drug and Alcohol Dependence, 127(1–3), 129–136. https://doi.org/10.1016/j.drugalcdep.2012.06.022Google Scholar
Patel, H., & Amlung, M. (2020). Acute and extended exposure to episodic future thinking in a treatment seeking addiction sample: A pilot study. Journal of Substance Abuse Treatment, 108046. http://doi.org/10.1016/j.jsat.2020.108046Google Scholar
Penedo, F. J., & Dahn, J. R. (2005). Exercise and well-being: A review of mental and physical health benefits associated with physical activity. Current Opinion in Psychiatry, 18(2), 189–193. https://doi.org/10.1097/00001504-200503000-00013Google Scholar
Powers, M. B., Vedel, E., & Emmelkamp, P. M. G. (2008). Behavioral couples therapy (BCT) for alcohol and drug use disorders: A meta-analysis. Clinical Psychology Review, 28(6), 952–962. https://doi.org/10.1016/j.cpr.2008.02.002Google Scholar
Ray, L. A., Bujarski, S., Grodin, E., Hartwell, E., Green, R., Venegas, A., & Miotto, K. (2019). State-of-the-art behavioral and pharmacological treatments for alcohol use disorder. American Journal of Drug and Alcohol Abuse, 45(2), 124–140. https://doi.org/10.1080/00952990.2018.152826Google Scholar
Rung, J. M., & Madden, G. J. (2018). Experimental reductions of delay discounting and impulsive choice: A systematic review and meta-analysis. Journal of Experimental Psychology: General, 147(9), 1349–1381. https://doi.org/10.1037/xge0000462Google Scholar
Sancho, M., De Gracia, M., Rodríguez, R. C., Mallorquí-Bagué, N., Sánchez-González, J., Trujols, J., Sánchez, I., Jiménez-Murcia, S., & Menchón, J. M. (2018). Mindfulness-based interventions for the treatment of substance and behavioral addictions: A systematic review. Frontiers in Psychiatry, 9. https://doi.org/10.3389/fpsyt.2018.00095CrossRefGoogle ScholarPubMed
Spillane, N. S., Smith, G. T., & Kahler, C. W. (2013). Perceived access to reinforcers as a function of alcohol consumption among one First Nation group. Alcoholism: Clinical and Experimental Research, 37, E314–E321. https://doi.org/10.1111/j.1530-0277.2012.01864.xGoogle Scholar
Subramaniam, S., Holtyn, A. F., Jarvis, B. P., Koffarnus, M. N., Leoutsakos, J. S., & Silverman, K. (2018). Illicit drug use and work in a model therapeutic workplace. Drug and Alcohol Dependence, 191, 110–116. https://doi.org/10.1016/j.drugalcdep.2018.06.019Google Scholar
Substance Abuse and Mental Health Services Administration (2020). Key substance use and mental health indicators in the United States: Results from the 2019 National Survey on Drug Use and Health (HHS Publication No. PEP20–07-01-001, NSDUH Series H-55). Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. www.samhsa.gov/data/Google Scholar
Sudhinaraset, M., Wigglesworth, C., & Takeuchi, D. T. (2016). Social and cultural contexts of alcohol use. Alcohol Research: Current Reviews, 38(1), 35–45.Google Scholar
Thekiso, T. B., Murphy, P., Milnes, J., Lambe, K., Curtin, A., & Farren, C. K. (2015). Acceptance and commitment therapy in the treatment of alcohol use disorder and comorbid affective disorder: A pilot matched control trial. Behavior Therapy, 46(6), 717–728. https://doi.org/10.1016/j.beth.2015.05.005Google Scholar
Tucker, J. A., Cheong, J., Chandler, S. D., Lambert, B. H., Pietrzak, B., Kwok, H., & Davies, S. L. (2016). Prospective analysis of behavioral economic predictors of stable moderation drinking among problem drinkers attempting natural recovery. Alcoholism: Clinical and Experimental Research, 40(12), 2676–2684. https://doi.org/10.1111/acer.13245Google Scholar
Tucker, J. A., Cheong, J., James, T. G., Jung, S., & Chandler, S. D. (2020). Preresolution drinking problem severity profiles associated with stable moderation outcomes of natural recovery attempts. Alcoholism: Clinical and Experimental Research, 44(3), 738–745. https://dx.doi.org/10.1111/acer.14287Google Scholar
Tucker, J. A., & Simpson, C. A. (2011). The recovery spectrum: From self-change to seeking treatment. Alcohol Research & Health, 33(4), 371–379.Google Scholar
Vaeth, P. A. C., Wang‐Schweig, M., & Caetano, R. (2017). Drinking, alcohol use disorder, and treatment access and utilization among US racial/ethnic groups. Alcoholism: Clinical and Experimental Research, 41(1), 6–19. https://doi.org/10.1111/acer.13285Google Scholar
Voss, A., Jorgensen, R., & Murphy, J. G. (2021). Episodic future thinking as a brief alcohol intervention for heavy drinking college students: A pilot feasibility study. Experimental and Clinical Psychopharmacology. https://doi.org/10.1037/pha0000451Google Scholar
Weinstock, J., Petry, N. M., Pescatello, L. S., Henderson, C. E., & Nelson, C. R. (2020). Randomized clinical trial of exercise for nontreatment seeking adults with alcohol use disorder. Psychology of Addictive Behaviors, 34(1), 65–75. https://doi.org/10.1037/adb0000506Google Scholar
Witkiewitz, K., Kranzler, H. R., Hallgren, K. A., O’Malley, S. S., Falk, D. E., Litten, R. Z., Hasin, D. S., Mann, K. F., & Anton, R. F. (2018). Drinking risk level reductions associated with improvements in physical health and quality of life among individuals with alcohol use disorder. Alcoholism: Clinical and Experimental Research, 42(12), 2453–2465. https://doi.org/10.1111/acer.13897Google Scholar
Witkiewitz, K., Pearson, M. R., Wilson, A. D., Stein, E. R., Votaw, V. R., Hallgren, K. A., Maisto, S. A., Swan, J. E., Schwebel, F. J., Aldridge, A., Zarkin, G. A., & Tucker, J. A. (2020). Can alcohol use disorder recovery include some heavy drinking? A replication and extension up to 9 years following treatment. Alcoholism: Clinical and Experimental Research, 44(9), 1862–1874. https://doi.org/10.1111/acer.14413Google Scholar

References

Ashford, R. D., Giorgi, S., Mann, B., Pesce, C., Sherritt, L., Ungar, L., & Curtis, B. (2020). Digital recovery networks: Characterizing user participation, engagement, and outcomes of a novel recovery social network smartphone application. Journal of Substance Abuse Treatment, 109, 50–55. https://doi.org/https://doi.org/10.1016/j.jsat.2019.11.005Google Scholar
Bachman, J. G., O’Malley, P. M., Schulenberg, J. E., Johnston, L. D., Bryant, A. L., & Merline, A. C. (2014). The decline of substance use in young adulthood: Changes in social activities, roles, and beliefs. Psychology Press.Google Scholar
Bachman, J. G., Wadsworth, K. N., O’Malley, P. M., Johnston, L. D., & Schulenberg, J. E. (2013). Smoking, drinking, and drug use in young adulthood: The impacts of new freedoms and new responsibilities. Psychology Press.Google Scholar
Barrick, C., & Connors, G. J. (2002). Relapse prevention and maintaining abstinence in older adults with alcohol use disorders. Drugs & Aging, 19(8), 583–594. https://doi.org/10.2165/00002512-200219080-00004Google Scholar
Brooks, A. T., Magaña Lòpez, M., Ranucci, A., Krumlauf, M., & Wallen, G. R. (2017). A qualitative exploration of social support during treatment for severe alcohol use disorder and recovery. Addictive Behaviors Reports, 6, 76–82. https://doi.org/https://doi.org/10.1016/j.abrep.2017.08.002CrossRefGoogle ScholarPubMed
Bryan, A. E. B., Kim, H.-J., & Fredriksen-Goldsen, K. I. (2017). Factors associated with high-risk alcohol consumption among LGB older adults: The roles of gender, social support, perceived stress, discrimination, and stigma. The Gerontologist, 57(suppl_1), S95–S104. https://doi.org/10.1093/geront/gnw100Google Scholar
Buckman, J. F., Bates, M. E., & Morgenstern, J. (2008). Social support and cognitive impairment in clients receiving treatment for alcohol and drug use disorders: A replication study. Journal of Studies on Alcohol and Drugs, 69(5), 738–746. https://doi.org/10.15288/jsad.2008.69.738Google Scholar
Caetano, R., Vaeth, P. A., & Canino, G. (2017). Family cohesion and pride, drinking and alcohol use disorder in Puerto Rico. American Journal of Drug and Alcohol Abuse, 43(1), 87–94. https://doi.org/10.1080/00952990.2016.1225073Google Scholar
Cano, M. Á., Sánchez, M., Rojas, P., Ramírez-Ortiz, D., Polo, K. L., Romano, E., & De La Rosa, M. (2018). Alcohol use severity among adult Hispanic immigrants: Examining the roles of family cohesion, social support, and gender. Substance Use & Misuse, 53(4), 668–676. https://doi.org/10.1080/10826084.2017.1356333Google Scholar
Choi, N. G., & DiNitto, D. M. (2011). Heavy/binge drinking and depressive symptoms in older adults: Gender differences. International Journal of Geriatric Psychiatry, 26(8), 860–868. https://doi.org/https://doi.org/10.1002/gps.2616Google Scholar
Chou, K. L., Liang, K., & Sareen, J. (2011). The association between social isolation and DSM-IV mood, anxiety, and substance use disorders: Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. Journal of Clinical Psychiatry, 72(11), 1468–1476. https://doi.org/10.4088/JCP.10m06019gryGoogle Scholar
Constantine, M. G., Gainor, K. A., Ahluwalia, M. K., & Berkel, L. A. (2003). Independent and interdependent self-construals, individualism, collectivism, and harmony control in African Americans. Journal of Black Psychology, 29(1), 87–101. https://doi.org/10.1177/0095798402239230Google Scholar
Dinescu, D., Turkheimer, E., Beam, C. R., Horn, E. E., Duncan, G., & Emery, R. E. (2016). Is marriage a buzzkill? A twin study of marital status and alcohol consumption. Journal of Family Psychology, 30(6), 698. https://doi.org/10.1037/fam0000221Google Scholar
Ewing, B. A., Osilla, K. C., Pedersen, E. R., Hunter, S. B., Miles, J. N. V., & D’Amico, E. J. (2015). Longitudinal family effects on substance use among an at-risk adolescent sample. Addictive Behaviors, 41, 185–191. https://doi.org/https://doi.org/10.1016/j.addbeh.2014.10.017Google Scholar
Fergusson, D. M., Boden, J. M., & John Horwood, L. (2012). Transition to parenthood and substance use disorders: Findings from a 30-year longitudinal study. Drug and Alcohol Dependence, 125(3), 295–300. https://doi.org/https://doi.org/10.1016/j.drugalcdep.2012.03.003Google Scholar
Flanagan, J. C., Jarnecke, A. M., Leone, R. M., & Oesterle, D. W. (2020). Effects of couple conflict on alcohol craving: Does intimate partner violence play a role?Addictive Behaviors, 109, 106474. https://doi.org/https://doi.org/10.1016/j.addbeh.2020.106474Google Scholar
Groh, D. R., Jason, L. A., Davis, M. I., Olson, B. D., & Ferrari, J. R. (2007). Friends, family, and alcohol abuse: An examination of general and alcohol-specific social support. American Journal on Addictions, 16(1), 49–55. https://doi.org/10.1080/10550490601080084Google Scholar
Guo, G., Elder, G. H., Cai, T., & Hamilton, N. (2009). Gene–environment interactions: Peers’ alcohol use moderates genetic contribution to adolescent drinking behavior. Social Science Research, 38(1), 213–224. https://doi.org/10.1016/j.ssresearch.2008.04.002Google Scholar
Guo, J., Hawkins, J. D., Hill, K. G., & Abbott, R. D. (2001). Childhood and adolescent predictors of alcohol abuse and dependence in young adulthood. Journal of Studies on Alcohol, 62(6), 754–762. https://doi.org/10.15288/jsa.2001.62.754Google Scholar
Hall, J. (2007). Kinship ties: Attachment relationships that promote resilience in African American adult children of alcoholics. Advances in Social Work, 8, 130–140. https://doi.org/10.18060/136Google Scholar
Henry, K. L., Fulco, C. J., Agbeke, D. V., & Ratcliff, A. M. (2018). Intergenerational continuity in substance abuse: Does offspring’s friendship network make a difference? Journal of Adolescent Health, 63(2), 205–212. https://doi.org/https://doi.org/10.1016/j.jadohealth.2018.02.014Google Scholar
Hill, J., Emery, R. E., Harden, K. P., Mendle, J., & Turkheimer, E. (2008). Alcohol use in adolescent twins and affiliation with substance using peers. Journal of Abnormal Child Psychology, 36(1), 81–94. https://doi.org/10.1007/s10802–007-9161-0Google Scholar
Holden, C. L., & Rollins, P. (2019). Discrepant alcohol use, conflict, and couples satisfaction in a community sample. The American Journal of Family Therapy, 47(5), 311–327. https://doi.org/10.1080/01926187.2019.1658554Google Scholar
Humphreys, K., Blodgett, J. C., & Wagner, T. H. (2014). Estimating the efficacy of Alcoholics Anonymous without self-selection bias: An instrumental variables re-analysis of randomized clinical trials. Alcoholism: Clinical and Experimental Research, 38(11), 2688–2694. https://doi.org/10.1111/acer.12557Google Scholar
Kerr, D. C., Capaldi, D. M., Pears, K. C., & Owen, L. D. (2012). Intergenerational influences on early alcohol use: Independence from the problem behavior pathway. Developmental Psychopathology, 24(3), 889–906. https://doi.org/10.1017/s0954579412000430Google Scholar
Klostermann, K., & Mignone, T. (2019). Behavioral couples therapy for substance use disorders. Social Behavior Research and Practice, 3(1), 25–27. https://doi.org/10.17140/SBRPOJ-3-113Google Scholar
Klostermann, K., & O’Farrell, T. J. (2021). Couple and family therapy in treatment of alcoholism and drug abuse. In el-Guebaly, N., Carrà, G., Galanter, M., & Baldacchino, A. M. (Eds.), Textbook of Addiction Treatment: International Perspectives (pp. 447–458). Springer International Publishing. https://doi.org/10.1007/978-3-030-36391-8_31Google Scholar
Kretsch, N., & Harden, K. P. (2014). Marriage, divorce, and alcohol use in young adulthood: A longitudinal sibling-comparison study. Emerging Adulthood, 2(2), 138–149. https://doi.org/10.1177/2167696813513260Google Scholar
Landau, J., & Garrett, J. (2008). Invitational intervention: The ARISE model for engaging reluctant alcohol and other drug abusers in treatment. Alcoholism Treatment Quarterly, 26(1-2), 147–168. https://doi.org/10.1300/J020v26n01_08Google Scholar
Lau-Barraco, C., Braitman, A. L., Leonard, K. E., & Padilla, M. (2012). Drinking buddies and their prospective influence on alcohol outcomes: Alcohol expectancies as a mediator. Psychology of Addictive Behaviors, 26(4), 747–758. https://doi.org/10.1037/a0028909Google Scholar
Lau-Barraco, C., & Collins, R. L. (2011). Social networks and alcohol use among nonstudent emerging adults: A preliminary study. Addictive Behaviors, 36(1-2), 47–54. https://doi.org/10.1016/j.addbeh.2010.08.017Google Scholar
Le Berre, A.-P. (2019). Emotional processing and social cognition in alcohol use disorder. Neuropsychology, 33(6), 808–821. https://doi.org/10.1037/neu0000572Google Scholar
Lee, J. Y., Brook, J. S., Nezia, N., & Brook, D. W. (2016). Adolescent predictors of alcohol use in adulthood: A 22-year longitudinal study. American Journal on Addictions, 25(7), 549–556. https://doi.org/10.1111/ajad.12438Google Scholar
Leonard, K. E., & Eiden, R. D. (2007). Marital and family processes in the context of alcohol use and alcohol disorders. Annual Review of Clinical Psychology, 3(1), 285–310. https://doi.org/10.1146/annurev.clinpsy.3.022806.091424Google Scholar
Leonard, K. E., & Mudar, P. (2003). Peer and partner drinking and the transition to marriage: A longitudinal examination of selection and influence processes. Psychology of Addictive Behaviors, 17(2), 115–125. https://doi.org/10.1037/0893-164X.17.2.115Google Scholar
Leung, R. K., Toumbourou, J. W., & Hemphill, S. A. (2014). The effect of peer influence and selection processes on adolescent alcohol use: A systematic review of longitudinal studies. Health Psychology Review, 8(4), 426–457. https://doi.org/10.1080/17437199.2011.587961Google Scholar
Litt, D. M., Lewis, M. A., Rhew, I. C., Hodge, K. A., & Kaysen, D. L. (2015). Reciprocal relationships over time between descriptive norms and alcohol use in young adult sexual minority women. Psychology of Addictive Behaviors, 29(4), 885–893. https://doi.org/10.1037/adb0000122Google Scholar
Litt, M. D., Kadden, R. M., Kabela-Cormier, E., & Petry, N. M. (2009). Changing network support for drinking: Network support project 2-year follow-up. Journal of Consulting and Clinical Psychology, 77(2), 229–242. https://doi.org/10.1037/a0015252Google Scholar
Liu, Y., Kornfield, R., Shaw, B. R., Shah, D. V., McTavish, F., & Gustafson, D. H. (2020). Giving and receiving social support in online substance use disorder forums: How self-efficacy moderates effects on relapse. Patient Education and Counseling, 103(6), 1125–1133. https://doi.org/https://doi.org/10.1016/j.pec.2019.12.015Google Scholar
McCrady, B., Wilson, A., Muñoz, R., Fink, B., Fokas, K., & Borders, A. (2016). Alcohol-focused behavioral couple therapy. Family Process, 55(3), 443–459. https://doi.org/10.1111/famp.12231Google Scholar
McCrady, B. S., Wilson, A., Fink, B., Borders, A., Muñoz, R., & Fokas, K. (2019). A consumer’s eye view of family-involved alcohol treatment. Alcoholism Treatment Quarterly, 37(1), 43–59. https://doi.org/10.1080/07347324.2018.1482245Google Scholar
Meque, I., Salom, C., Betts, K. S., & Alati, R. (2019). Predictors of alcohol use disorders among young adults: A systematic review of longitudinal studies. Alcohol and Alcoholism, 54(3), 310–324. https://doi.org/10.1093/alcalc/agz020Google Scholar
Min, M. O., Tracy, E. M., Kim, H., Park, H., Jun, M., Brown, S., McCarty, C., & Laudet, A. (2013). Changes in personal networks of women in residential and outpatient substance abuse treatment. Journal of Substance Abuse Treatment, 45(4), 325–334. https://doi.org/10.1016/j.jsat.2013.04.006Google Scholar
Osgood, D. W., Ragan, D. T., Wallace, L., Gest, S. D., Feinberg, M. E., & Moody, J. (2013). Peers and the emergence of alcohol use: Influence and selection processes in adolescent friendship networks. Journal of Research on Adolescence, 23(3), 500–512. https://doi.org/https://doi.org/10.1111/jora.12059Google Scholar
Pettersen, H., Landheim, A., Skeie, I., Biong, S., Brodahl, M., Oute, J., & Davidson, L. (2019). How social relationships influence substance use disorder recovery: A collaborative narrative study. Substance Abuse: Research and Treatment, 13, 1178221819833379. https://doi.org/10.1177/1178221819833379Google Scholar
Philip, J., Ford, T., Henry, D., Rasmus, S., & Allen, J. (2016). Relationship of social network to protective factors in suicide and alcohol use disorder intervention for rural Yup’ik Alaska native youth. Psychosocial Intervention, 25(1), 45–54. https://doi.org/10.1016/j.psi.2015.08.002Google Scholar
Pittman, D. M., Quayson, A. A., Rush, C. R., & Minges, M. L. (2019). Revisiting resilience: Examining the relationships between stress, social support, and drinking behavior among black college students with parental substance use disorder histories. Journal of Ethnicity in Substance Abuse, 1–22. https://doi.org/10.1080/15332640.2019.1707142Google Scholar
Powers, M. B., Vedel, E., & Emmelkamp, P. M. (2008). Behavioral couples therapy (BCT) for alcohol and drug use disorders: A meta-analysis. Clinical Psychology Review, 28(6), 952–962. https://doi.org/10.1016/j.cpr.2008.02.002Google Scholar
Reid, A. E., & Carey, K. B. (2018). Why is social network drinking associated with college students’ alcohol use? Focus on psychological mediators. Psychology of Addictive Behaviors, 32(4), 456. https://doi.org/10.1037/adb0000374Google Scholar
Rodriguez, L. M., Neighbors, C., & Knee, C. R. (2014). Problematic alcohol use and marital distress: An interdependence theory perspective. Addiction Research & Theory, 22(4), 294–312. https://doi.org/10.3109/16066359.2013.841890Google Scholar
Roozen, H. G., de Waart, R., & van der Kroft, P. (2010). Community reinforcement and family training: An effective option to engage treatment-resistant substance-abusing individuals in treatment. Addiction, 105(10), 1729–1738. https://doi.org/10.1111/j.1360-0443.2010.03016.xGoogle Scholar
Salvatore, J. E., Larsson Lönn, S., Sundquist, J., Sundquist, K., & Kendler, K. S. (2020). Disentangling social-genetic from rearing-environment effects for alcohol use disorder using Swedish national data. Psychological Science, 31(9), 1140–1149. https://doi.org/10.1177/0956797620931542Google Scholar
Scholte, R. H. J., Poelen, E. A. P., Willemsen, G., Boomsma, D. I., & Engels, R. C. M. E. (2008). Relative risks of adolescent and young adult alcohol use: The role of drinking fathers, mothers, siblings, and friends. Addictive Behaviors, 33(1), 1–14. https://doi.org/10.1016/j.addbeh.2007.04.015Google Scholar
Segura, Y. L., Page, M. C., Neighbors, B. D., Nichols-Anderson, C., & Gillaspy, S. (2004). The importance of peers in alcohol use among Latino adolescents: The role of alcohol expectancies and acculturation. Journal of Ethnicity in Substance Abuse, 2(3), 31–49. https://doi.org/10.1300/J233v02n03_02Google Scholar
Sher, K. J., Gershuny, B. S., Peterson, L., & Raskin, G. (1997). The role of childhood stressors in the intergenerational transmission of alcohol use disorders. Journal of Studies on Alcohol, 58(4), 414–427. https://doi.org/10.15288/jsa.1997.58.414Google Scholar
Stevens, E., Jason, L. A., Ram, D., & Light, J. (2015). Investigating social support and network relationships in substance use disorder recovery. Substance Abuse, 36(4), 396–399. https://doi.org/10.1080/08897077.2014.965870Google Scholar
Su, J., Kuo, S. I. C., Meyers, J. L., Guy, M. C., & Dick, D. M. (2018). Examining interactions between genetic risk for alcohol problems, peer deviance, and interpersonal traumatic events on trajectories of alcohol use disorder symptoms among African American college students. Developmental Psychopathology, 30(5), 1749–1761. https://doi.org/10.1017/S0954579418000962Google Scholar
Talley, A. E., Gilbert, P. A., Mitchell, J., Goldbach, J., Marshall, B. D. L., & Kaysen, D. (2016). Addressing gaps on risk and resilience factors for alcohol use outcomes in sexual and gender minority populations. Drug and Alcohol Review, 35(4), 484–493. https://doi.org/10.1111/dar.12387Google Scholar
Trucco, E. M., Colder, C. R., Wieczorek, W. F., Lengua, L. J., & Hawk, L. W. Jr., (2014). Early adolescent alcohol use in context: How neighborhoods, parents, and peers impact youth. Developmental Psychopathology, 26(2), 425–436. https://doi.org/10.1017/s0954579414000042Google Scholar
Tucker, J. A., Chandler, S. D., & Witkiewitz, K. (2020). Epidemiology of recovery from alcohol use disorder. Alcohol Research : Current Reviews, 40(3), 02. https://doi.org/10.35946/arcr.v40.3.02Google Scholar
Tucker, J. A., Cheong, J., Chandler, S. D., Crawford, S. M., & Simpson, C. A. (2015). Social networks and substance use among at-risk emerging adults living in disadvantaged urban areas in the southern United States: A cross-sectional naturalistic study. Addiction, 110(9), 1524–1532. https://doi.org/10.1111/add.13010Google Scholar
Verhulst, B., Neale, M. C., & Kendler, K. S. (2015). The heritability of alcohol use disorders: A meta-analysis of twin and adoption studies. Psychological Medicine, 45(5), 1061–1072. https://doi.org/10.1017/s0033291714002165Google Scholar
Whisman, M. A., Uebelacker, L. A., & Bruce, M. L. (2006). Longitudinal association between marital dissatisfaction and alcohol use disorders in a community sample. Journal of Family Psychology, 20(1), 164–167. https://doi.org/10.1037/0893-3200.20.1.164Google Scholar
Whiteman, S. D., Jensen, A. C., & Maggs, J. L. (2014). Similarities and differences in adolescent siblings’ alcohol-related attitudes, use, and delinquency: Evidence for convergent and divergent influence processes. Journal of Youth and Adolescence, 43(5), 687–697. https://doi.org/10.1007/s10964–013-9971-zGoogle Scholar
Wood, M. D., Read, J. P., Mitchell, R. E., & Brand, N. H. (2004). Do parents still matter? Parent and peer influences on alcohol involvement among recent high school graduates. Psychology of Addictive Behaviors, 18(1), 19. https://doi.org/10.1037/0893-164X.18.1.19Google Scholar
Yalom, I. D. (1995). The theory and practice of group psychotherapy (4th ed). Basic Books.Google Scholar
Zapolski, T. C., Fisher, S., Hsu, W. W., & Barnes, J. (2016). What can parents do? Examining the role of parental support on the negative relationship between racial discrimination, depression, and drug use among African American youth. Clinical Psychological Science, 4(4), 718–731. https://doi.org/10.1177/2167702616646371Google Scholar

References

Anderson, K. (2010). How to change your drinking: A harm reduction guide to alcohol. HAMS Harm Reduction Network.Google Scholar
Becker, H. C. (1998). Kindling in alcohol withdrawal. Alcohol Health & Research World, 22, 25–33.Google Scholar
Bronfenbrenner, U. (1979). The ecology of human development. Harvard University Press.Google Scholar
Brown, M. M., Jason, L. A., Malone, D. K., Srebnik, D., & Sylla, L. (2016). Housing first as an effective model for community stabilization among vulnerable individuals with chronic and nonchronic homelessness histories. Journal of Community Psychology, 44, 384–390. https://doi.org/10.1002/jcop.21763Google Scholar
Clatworthy, J., Hinds, J., & Camic, P. M. (2013). Gardening as a mental health intervention: A review. Mental Health Review Journal, 18, 214–225. https://doi.org/10.1108/MHRJ-02-2013-0007Google Scholar
Clifasefi, S. L., Collins, S. E., & The LEAP Advisory Board. (2020). The life enhancing alcohol-management program (LEAP): Results from a 6-month nonrandomized controlled pilot study assessing a community-based participatory research program in Housing First. Journal of Community Psychology, 48, 763–776. https://doi.org/10.1002/jcop.22291Google Scholar
Clifasefi, S. L., Collins, S. E., Torres, N. I., Grazioli, V. S., & Mackelprang, J. L. (2016). Housing First, but what comes second? A qualitative study of resident, staff, and management perspectives on single-site Housing First program enhancement. Journal of Community Psychology, 44, 845–855. https://doi.org/10.1002/jcop.21812Google Scholar
Clifasefi, S. L., Malone, D., & Collins, S. E. (2013). Associations between criminal history, Housing First exposure, and jail outcomes among chronically homeless individuals with alcohol problems. International Journal of Drug Policy, 24, 291–296. https://doi.org/10.1016/j.drugpo.2012.10.002Google Scholar
Collins, S. E. (2016). Associations between socioeconomic factors and alcohol outcomes. Alcohol Research: Current Reviews, 38, 83–94.Google Scholar
Collins, S. E., Clifasefi, S. L., Andrasik, M. P., Dana, E. A., Stahl, N. E., Kirouac, M., Welbaum, C., King, M., & Malone, D. K. (2012). Exploring transitions within a project-based Housing First setting: Qualitative evaluation and practice implications. Journal of Health Care for the Poor and Underserved, 23, 1678–1697. https://doi.org/10.1353/hpu.2012.0187Google Scholar
Collins, S. E., Clifasefi, S. L., Dana, E. A., Andrasik, M. P., Stahl, N. E., Kirouac, M., Welbaum, C., King, M., & Malone, D. K. (2012). Where harm reduction meets Housing First: Exploring alcohol’s role in a project-based Housing First setting. International Journal of Drug Policy, 23, 111–119. https://doi.org/10.1016/j.drugpo.2011.07.010Google Scholar
Collins, S. E., Clifasefi, S. L., Logan, D. E., Samples, L., Somers, J., & Marlatt, G. A. (2011). Chapter 1–Harm reduction: Current status, historical highlights, and basic principles. In Marlatt, G. A., Witkiewitz, K., & Larimer, M. E. (Eds.), Harm reduction: Pragmatic strategies for managing high-risk behaviors. (2nd ed.) (pp. 3-35). Guilford.Google Scholar
Collins, S. E., Clifasefi, S. L., Nelson, L. A., Stanton, J., Goldstein, S. C., Taylor, E. M., Hoffmann, G., King, V. L., Hatsukami, A. S., Cunningham, Z. L., Taylor, E., Mayberry, N., Malone, D. K., & Jackson, T. R. (2019). Randomized controlled trial of harm reduction treatment for alcohol (HaRT-A) for people experiencing homelessness and alcohol use disorder. International Journal of Drug Policy, 67, 24–33. https://doi.org/10.1016/j.drugpo.2019.01.002Google Scholar
Collins, S. E., Clifasefi, S. L., Stanton, J., The LEAP Advisory Board, Straits, K. J. E., Gil-Kashiwabara, E., Nicasio, A. V., Hawes, S. M., Nelson, L. A., Duran, B. M., & Wallerstein, N. (2018). Community-based participatory research (CBPR): Towards equitable involvement of community in psychology research. American Psychologist, 73, 884–898. https://doi.org/10.1037/amp0000167Google Scholar
Collins, S. E., Duncan, M. H., Saxon, A. J., Taylor, E. M., Mayberry, N., Merrill, J. O., Hoffmann, G. E., Clifasefi, S. L., & Ries, R. K. (2021). Combining extended-release naltrexone and behavioral harm-reduction treatment for people experiencing homelessness and alcohol use disorder in the USA: A randomized clinical trial. The Lancet Psychiatry. https://doi.org/10.1016/S2215-0366(20)30489-2Google Scholar
Collins, S. E., Goldstein, S. C., King, V. L., Orfaly, V. E., Gu, J., Clark, A., Vess, A., Lee, G., Taylor, E. M., Fentress, T., Braid, A. K., & Clifasefi, S. L. (2020). Characterizing components of and attendance at resident-driven Housing First programming in the context of community-based participatory research. Journal of Community Psychology, 1–17. https://doi.org/10.1002/jcop.22491Google Scholar
Collins, S. E., Grazioli, V., Torres, N., Taylor, E., Jones, C., Hoffman, G., Haelsig, L., Zhu, A., Hatsukami, A. S., Koker, M. J., Herndon, P., Greenleaf, S. M., & Dean, P. (2015). Qualitatively and quantitatively evaluating harm-reduction goals among chronically homeless individuals with alcohol dependence. Addictive Behaviors, 45, 184–190. https://doi.org/10.1016/j.addbeh.2015.02.001Google Scholar
Collins, S. E., Jones, C. B., Hoffmann, G., Nelson, L. A., Hawes, S. M., Grazioli, V. S., Mackelprang, J. L., Holttum, J., Kaese, G., Lenert, J., Herndon, P., & Clifasefi, S. L. (2016). In their own words: Content analysis of pathways to recovery among individuals with the lived experience of homelessness and alcohol use disorders. International Journal of Drug Policy, 27, 89–96. https://doi.org/10.1016/j.drugpo.2015.08.003Google Scholar
Collins, S. E., Malone, D. K., & Clifasefi, S. L. (2013). Housing retention in single-site Housing First for chronically homeless individuals with severe alcohol problems. American Journal of Public Health, 103, S269–S274. https://doi.org/10.2105/AJPH.2013.301312Google Scholar
Collins, S. E., Malone, D. K., Clifasefi, S. L., Ginzler, J. A., Garner, M. D., Burlingham, B., Lonczak, H. S., Dana, E. A., Kirouac, M., Tanzer, K., Hobson, W., Marlatt, A., & Larimer, M. E. (2012). Project-based Housing First for chronically homeless individuals with alcohol problems: Within-subjects analyses of two-year alcohol-use trajectories. American Journal of Public Health, 102, 511–519. https://doi.org/10.2105/AJPH.2011.300403Google Scholar
Collins, S. E., Malone, D. K., & Larimer, M. E. (2012). Motivation to change and treatment attendance as predictors of alcohol-use outcomes among project-based housing first residents. Addictive Behaviors, 37, 931–939. https://doi.org/10.1016/j.addbeh.2012.03.029Google Scholar
Crabtree, A., Latham, N., Morgan, R., Pauly, B., Bungay, V., & Buxton, J. A. (2018). Perceived harms and harm reduction strategies among people who drink non-beverage alcohol: Community-based qualitative research in Vancouver, Canada. International Journal of Drug Policy, 59, 85–93. https://doi.org/10.1016/j.drugpo.2018.06.020Google Scholar
Denning, P., & Little, J. (2012). Practicing harm reduction psychotherapy: An alternative approach to addictions (2nd ed.). Guilford.Google Scholar
Denning, P., & Little, J. (eds.). (2017). Over the influence: The harm reduction guide for managing drugs and alcohol. Guilford.Google Scholar
Des Jarlais, D. C., Feelemyer, J. P., Modi, S. N., Abdul-Quader, A., & Hagan, H. (2013). High coverage needle/syringe programs for people who inject drugs in low and middle income countries: A systematic review. BMC Public Health, 13, 53. https://doi.org/10.1186/1471-2458-13-53Google Scholar
Dingle, G. A., Gleadhill, L., & Baker, F. A. (2008). Can music therapy engage patients in group cognitive behavior therapy for substance abuse treatment? Drug and Alcohol Review, 27, 190–196. https://doi.org/10.1080/09595230701829371Google Scholar
Gaetz, S., Scott, F., & Gulliver, T. (2013). Housing First in Canada: Supporting communities to end homelessness. Canadian Homelessness Research Network Press.Google Scholar
Gilmer, T. P., Stefancic, A., Sklar, M., & Tsemberis, S. (2013). Development and validation of a Housing First fidelity survey. Psychiatric Services, 64, 911–914. https://doi.org/10.1176/appi.ps.201200500Google Scholar
Grazioli, V. S., Collins, S. E., Paroz, S., Graap, C., & Daeppen, J. B. (2017). Six-month outcomes among socially marginalized alcohol and drug users attending a drop-in center allowing alcohol consumption. International Journal of Drug Policy, 41, 65–73. https://doi.org/10.1016/j.drugpo.2016.12.015Google Scholar
Harm Reduction Coalition (2020). Principles of Harm Reduction. Retrieved from https://harmreduction.org/about-us/principles-of-harm-reduction/Google Scholar
Heather, N. (2006). Controlled drinking, harm reduction and their roles in the response to alcohol-related problems. Addiction Research and Theory, 14, 7–18. https://doi.org/10.1080/16066350500489170Google Scholar
Kertesz, S. G., Crouch, K., Milby, J. B., Cusimano, R. E., & Schumacher, J. E. (2009). Housing First for homeless persons with active addiction: Are we overreaching?Milbank Quarterly, 87, 495–534. https://doi.org/10.1111/j.1468-0009.2009.00565.xGoogle Scholar
Kirst, M., Zerger, S., Misir, V., Hwang, S., & Stergiopoulos, V. (2015). The impact of a Housing First randomized controlled trial on substance use problems among homeless individuals with mental illness. Drug and Alcohol Dependence, 146, 24–29. https://doi.org/10.1016/j.drugalcdep.2014.10.019Google Scholar
Larimer, M., Malone, D., Garner, M., Atkins, D., Burlingham, B., Lonczak, H., Tanzer, K., Ginzler, J., Clifasefi, S. L., Hobson, W. G., & Marlatt, G. A. (2009). Health care and public service use and costs before and after provision of housing for chronically homeless persons with severe alcohol problems. JAMA, 301, 1349–1357. https://doi.org/10.1001/jama.2009.414Google Scholar
Lee, H. S., & Petersen, S. R. (2009). Demarginalizing the marginalized in substance abuse treatment: Stories of homeless, active substance users in an urban harm reduction based drop-in center. Addiction Research & Theory, 17, 622–636. https://doi.org/10.3109/16066350802168613Google Scholar
Mackelprang, J. L., Collins, S. E., & Clifasefi, S. L. (2014). Housing First is associated with reduced use of emergency medical services. Prehospital Emergency Care, 18, 478–482. https://doi.org/10.3109/10903127.2014.916020Google Scholar
Malone, D. K. (2009). Assessing criminal history as a predictor of future housing success for homeless adults with behavioral health disorders. Psychiatric Services, 60, 224–230. https://doi.org/10.1176/appi.ps.60.2.224Google Scholar
Malone, D. K., Collins, S. E., & Clifasefi, S. L. (2015). Single-site Housing First for chronically homeless people. Housing, Care and Support, 18, 62–66. https://doi.org/10.1108/HCS-05-2015-0007Google Scholar
Marlatt, A., & Witkiewitz, K. (2002). Harm reduction approaches to alcohol use: Health promotion, prevention, and treatment. Addictive Behaviors, 27, 867–886. https://doi.org/10.1016/S0306-4603(02)00294-0Google Scholar
Marlatt, G. A., Baer, J. S., Kivlahan, D. R., Dimeff, L. A., Larimer, M., Quigley, L., Somers, J. M., & Williams, E. (1998). Screening and brief intervention for high-risk college student drinkers: Results from a 2-year follow-up assessment. Journal of Consulting and Clinical Psychology, 66, 604–615. https://doi.org/10.1037//0022-006X.66.4.604Google Scholar
Marlatt, G. A., & Witkiewitz, K. (2010). Update on harm-reduction policy and intervention research. Annual Review of Clinical Psychology, 6, 591–606. https://doi.org/10.1146/annurev.clinpsy.121208.131438Google Scholar
Miller, W. R., & Rollnick, S. (2012). Motivational interviewing: Helping people change (3rd ed.). Guilford.Google Scholar
Muckle, W., Muckle, J., Welch, V., & Tugwell, P. (2012). Managed alcohol as a harm reduction intervention for alcohol addiction in populations at high risk for substance abuse. Cochrane Database of Systematic Reviews, 12, CD006747. https://doi.org/10.1002/14651858.CD006747.pub2Google Scholar
National Alliance to End Homelessness. (2012). Solutions: Housing First. www.endhomelessness.org/pages/solutionsGoogle Scholar
NIAAA. (2005). Helping patients who drink too much: A clinician’s guide. https://pubs.niaaa.nih.gov/publications/practitioner/cliniciansguide2005/guide.pdfGoogle Scholar
Nielsen, S., Larance, B., Degenhardt, L., Gowing, L., Kehler, C., & Lintzeris, N. (2016). Opioid agonist treatment for pharmaceutical opioid dependent people. Cochrane Database of Systematic Reviews, 5. https://doi.org/10.1002/14651858.CD011117.pub2Google Scholar
Orwin, R. G., Garrison-Mogren, R., Jacobs, M. L., & Sonnefeld, L. J. (1999). Retention of homeless clients in substance abuse treatment: Findings from the National Institute on Alcohol Abuse and Alcoholism Cooperative Agreement Program. Journal of Substance Abuse Treatment, 17, 45–66. https://doi.org/10.1016/s0740-5472(98)00046-4Google Scholar
Pauly, B., Vallance, K., Wettlaufer, A., Chow, C., Brown, R., Evans, J., Gray, E., Krysowaty, B., Ivsins, A., Schiff, R., & Stockwell, T. (2018). Community managed alcohol programs in Canada: Overview of key dimensions and implementation. Drug and Alcohol Review, 37, S132–S139. https://doi.org/10.1111/dar.12681Google Scholar
Pauly, B. M., Stockwell, T., Chow, C., Gray, E., Krysowaty, B., & Vallance, K. (2013). Towards alcohol harm reduction: Preliminary results from an evaluation of a Canadian managed alcohol program. Centre for Additions Research of British Columbia.Google Scholar
Pearson, M. R. (2013). Use of alcohol protective behavioral strategies among college students: A critical review. Clinical Psychology Review, 33. https://doi.org/10.1016/j.cpr.2013.08.006Google Scholar
Podymow, T., Turnbull, J., Coyle, D., Yetisir, E., & Wells, G. (2006). Shelter-based managed alcohol administration to chronically homeless people addicted to alcohol. Canadian Medical Association Journal, 174, 45–49. https://doi.org/10.1503/cmaj.1041350Google Scholar
Substance Abuse and Mental Health Services Administration (2019). Key substance use and mental health indicators in the United States: Results from the 2018 National Survey on Drug Use and Health (NSDUH). www.samhsa.gov/data/sites/default/files/cbhsq-reports/NSDUHNationalFindingsReport2018/NSDUHNationalFindingsReport2018.pdfGoogle Scholar
Slayton, S. C., D’Archer, J., & Kaplan, F. (2010). Outcome studies on the efficacy of art therapy: A review of findings. Art Therapy, 27, 108–118. https://doi.org/10.1080/07421656.2010.10129660Google Scholar
Sobell, L. C., Ellingstad, T. P., & Sobell, M. B. (2000). Natural recovery from alcohol and drug problems: Methodological review of the research with suggestions for future directions. Addiction, 95, 749–764. https://doi.org/10.1046/j.1360-0443.2000.95574911.xGoogle Scholar
Somers, J. M., Moniruzzaman, A., Patterson, M., Currie, L., Rezansoff, S. N., Palepu, A., & Fryer, K. (2017). A randomized trial examining Housing First in congregate and scattered site formats. PLoS ONE, 12, e0168745. https://doi.org/10.1371/journal.pone.0168745Google Scholar
Stergiopoulos, V., Gozdzik, A., Misir, V., Skosireva, A., Connelly, J., Sarang, A., Whisler, A., Hwang, S. W., O’Campo, P., & McKenzie, K. (2015). Effectiveness of Housing First with intensive case management in an ethnically diverse sample of homeless adults with mental illness: A randomized controlled trial. PLoS ONE, 10, e0130281. https://doi.org/10.1371/journal.pone.0130281Google Scholar
Stockwell, T., Pauly, B., Chow, C., Erickson, R. A., Krysowaty, B., Roemer, A., Vallance, K., Wettlaufer, A., & Zhao, J. (2018). Does managing the consumption of people with severe alcohol dependence reduce harm? A comparison of participants in six Canadian managed alcohol programs with locally recruited controls. Drug and Alcohol Review, 37, S159-S166. https://doi.org/10.1111/dar.12618Google Scholar
Tartarsky, A. (2002). Harm reduction psychotherapy: A new treatment for drug and alcohol problems. Rowman &Littlefield.Google Scholar
Thornquist, L., Biros, M., Olander, R., & Sterner, S. (2002). Health care utilization of chronic inebriates. Academic Emergency Medicine, 9, 300–308. https://doi.org/10.1111/j.1553-2712.2002.tb01323.xGoogle Scholar
Tsemberis, S. (2010). Housing First: The pathways model to end homelessness for people with mental illness and addiction. Hazelden Publishing.Google Scholar
Tsemberis, S., & Eisenberg, R. F. (2000). Pathways to Housing: Supported housing for street-dwelling homeless individuals with psychiatric disabilities. Psychiatric Services, 51, 487–493. https://doi.org/10.1176/appi.ps.51.4.487Google Scholar
Tsemberis, S., Gulcur, L., & Nakae, M. (2004). Housing First, consumer choice, and harm reduction for homeless individuals with a dual diagnosis. American Journal of Public Health, 94, 651–656. https://doi.org/10.2105/AJPH.94.4.651Google Scholar
Tsemberis, S., Kent, D., & Respress, C. (2012). Housing stability and recovery among chronically homeless people with co-occurring disorders in Washington DC. American Journal of Public Health, 102, 13–16. https://doi.org/10.2105/AJPH.2011.300320Google Scholar
Vaeth, P. A., Wang‐Schweig, M., & Caetano, R. (2017). Drinking, alcohol use disorder, and treatment access and utilization among US racial/ethnic groups. Alcoholism: Clinical and Experimental Research, 41, 6–19. https://doi.org/10.1111/acer.13285Google Scholar
Vallance, K., Stockwell, T., Pauly, B., Chow, C., Gray, E., Krysowaty, B., Perkin, K., & Zhao, J. (2016). Do managed alcohol programs change patterns of alcohol consumption and reduce related harm? A pilot study. Harm Reduction Journal, 13, 13. https://doi.org/10.1186/s12954-016-0103-4Google Scholar
Watson, D. P., Orwat, J., Wagner, D. E., Shuman, V., & Tolliver, R. (2013). The Housing First model (HFM) fidelity index: Designing and testing a tool for measuring integrity of housing programs that serve active substance users. Substance Abuse Treatment, Prevention and Policy, 8, 1–16. https://doi.org/10.1186/1747-597X-8-16Google Scholar
Willenbring, M. L. (2014). Treatment of heavy drinking and alcohol use disorder. In Ries, R. K., Fiellin, D. A., Miller, S. C., & Saitz, R. (Eds.), The ASAM principles of addiction medicine (5th ed.) (pp. 375–388). Wolters Kluwer.Google Scholar
Witkiewitz, K., Montes, K. S., Schwebel, F. J., & Tucker, J. A. (2020). What is recovery?Alcohol Research: Current Reviews, 40, 01–01. https://doi.org/10.35946/arcr.v40.3.01Google Scholar

References

Bae, S., Chung, T., Ferreira, D., Dey, A. K., & Suffoletto, B. (2018). Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions. Addictive Behaviors, 83, 42–47. https://doi.org/10.1016/j.addbeh.2017.11.039Google Scholar
Bae, S., Ferreira, D., Suffoletto, B., Puyana, J. C., Kurtz, R., Chung, T., & Dey, A. K. (2017). Detecting drinking episodes in young adults using smartphone-based sensors. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 1(2), 1–36. https://doi.org/10.1145/3090051Google Scholar
Beckjord, E., & Shiffman, S. (2014). Background for real-time monitoring and intervention related to alcohol use. Alcohol Research: Current Reviews, 36(1), 9–18. https://pubmed.ncbi.nlm.nih.gov/26258996Google Scholar
Berry, N., Bucci, S., & Lobban, F. (2017). Use of the internet and mobile phones for self-management of severe mental health problems: Qualitative study of staff views. JMIR Mental Health, 4(4), e52. https://doi.org/10.2196/mental.8311Google Scholar
Browne, T., Priester, M. A., Clone, S., Iachini, A., Dehart, D., & Hock, R. (2016). Barriers and facilitators to substance use treatment in the rural south: A qualitative study. Journal of Rural Health, 32(1), 92–101. https://doi.org/10.1111/jrh.12129Google Scholar
Bucci, S., Schwannauer, M., & Berry, N. (2019). The digital revolution and its impact on mental health care. Psychology and Psychotherapy: Theory, Research and Practice, 92(2), 277–297. https://doi.org/10.1111/papt.12222Google Scholar
Buckman, J. F., Vaschillo, E. G., Fonoberova, M., Mezic, I., & Bates, M. E. (2018). The translational value of psychophysiology methods and mechanisms: Multilevel, dynamic, personalized. Journal of Studies on Alcohol and Drugs, 79, 229–238. https://doi.org/10.15288/jsad.2018.79.229Google Scholar
Burke, L. E., Shiffman, S., Music, E., Styn, M. A., Kriska, A., Smailagic, A., Siewiorek, D., Ewing, L. J., Chasens, E., French, B., Mancino, J., Mendez, D., Strollo, P., & Rathbun, S. L. (2017). Ecological momentary assessment in behavioral research: Addressing technological and human participant challenges. Journal of Medical Internet Research, 19(3), e77. https://doi.org/10.2196/jmir.7138Google Scholar
Carney, M. A., Tennen, H., Affleck, G., del Boca, F. K., & Kranzler, H. R. (1998). Levels and patterns of alcohol consumption using timeline follow-back, daily diaries, and real time “electronic interviews.” Journal of Studies on Alcohol, 59(4), 447-454. https://doi.org/10.15288/jsa.1998.59.447Google Scholar
Carpenter, R. W., Squeglia, L. M., Emery, N. N., & McClure, E. A. (2020). Making pharmacotherapy trials for substance use disorder more efficient: Leveraging real-world data capture to maximize power and expedite the medication development pipeline. Drug and Alcohol Dependence, 209, 107897. https://doi.org/10.1016/j.drugalcdep.2020.107897Google Scholar
Carpenter, R. W., Treloar Padovano, H., Emery, N. N., & Miranda, R. (2019). Rate of alcohol consumption in the daily life of adolescents and emerging adults. Psychopharmacology, 236(11), 3111–3124. https://doi.org/10.1007/s00213–019-05262-8Google Scholar
Carroll, K. M., Ball, S. A., Martino, S., Nich, C., Babuscio, T. A., Nuro, K. F., Gordon, M. A., Portnoy, G. A., & Rounsaville, B. J. (2008). Computer-assisted delivery of cognitive-behavioral therapy for addiction: A randomized trial of CBT4CBT. American Journal of Psychiatry, 165(7), 881–888. https://doi.org/10.1176/appi.ajp.2008.07111835Google Scholar
Colder, C. R., Chassin, L., Lee, M. R., & Villalta, I. K. (2010). Developmental perspectives: Affect and adolescent substance use. In Kassel, J. D. (Ed.), Substance abuse and emotion (pp. 109–135). American Psychological Association. https://doi.org/10.1037/12067-005Google Scholar
Cunningham, J. A., & McCambridge, J. (2012). Is alcohol dependence best viewed as a chronic relapsing disorder? Addiction, 107(1), 6–12. https://doi.org/10.1111/j.1360-0443.2011.03583.xGoogle Scholar
Curran, P. J., & Bauer, D. J. (2011). The disaggregation of within-person and between-person effects in longitudinal models of change. Annual Review Of Psychology, 62, 583–619. https://doi.org/10.1146/annurev.psych.093008.100356Google Scholar
Danvers, A. F., Sbarra, D. A., & Mehl, M. R. (2020). Understanding personality through patterns of daily socializing: Applying recurrence quantification analysis to naturalistically observed intensive longitudinal social interaction data. European Journal of Personality, 34, 777–793. https://doi.org/10.1002/per.2282Google Scholar
De Vries, L. P., Baselmans, B. M. L., & Bartels, M. (2020). Smartphone-based ecological momentary assessment of well-being: A systematic review and recommendations for future studies. Journal of Happiness Studies, 22, 2361–2408. https://doi.org/10.1007/s10902–020-00324-7Google Scholar
Dennis, M., Scott, C. K., & Funk, R. (2003). An experimental evaluation of recovery management check-ups (RMC) for people with chronic substance use disorders. Evaluation and Program Planning, 26(3), 339–352. https://doi.org/10.1016/S0149–7189(03)00037-5Google Scholar
Ebner-Priemer, U. W., & Trull, T. J. (2009). Ecological momentary assessment of mood disorders and mood dysregulation. Psychological Assessment, 21(4), 463–475. https://doi.org/10.1037/a0017075.Google Scholar
Eckhoff, R. P., Kizakevich, P. N., Bakalov, V., Zhang, Y., Bryant, S. P., & Hobbs, M. A. (2015). A platform to build mobile health apps: The personal health intervention toolkit (PHIT). JMIR MHealth and UHealth, 3(2), e4202. https://doi.org/10.2196/mhealth.4202Google Scholar
Ekholm, O. (2004). Influence of the recall period on self-reported alcohol intake. European Journal of Clinical Nutrition, 58, 60–63. https://doi.org/10.1038/sj.ejcn.1601746Google Scholar
Emery, N. N., & Simons, J. S. (2020). The role of affect, emotion management, and attentional bias in young adult drinking: An experience sampling study. Psychopharmacology, 237(5), 1557–1575. https://doi.org/10.1007/s00213–020-05480-5Google Scholar
Gmel, G., & Daeppen, J.-B. (2007). Recall bias for seven-day recall measurement of alcohol consumption among emergency department patients: Implications for case-crossover designs. Journal of Studies on Alcohol and Drugs, 68(2), 303–310. https://doi.org/10.15288/jsad.2007.68.303Google Scholar
Gustafson, D. H., McTavish, F. M., Chih, M. Y., Atwood, A. K., Johnson, R. A., Boyle, M. G., Levy, M. S., Driscoll, H., Chisholm, S. M., Dillenburg, L., Isham, A., & Shah, D. (2014). A smartphone application to support recovery from alcoholism: A randomized clinical trial. JAMA Psychiatry, 71(5), 566–572. https://doi.org/10.1001/jamapsychiatry.2013.4642Google Scholar
Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018). At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO study. Multivariate Behavioral Research, 53(6), 820–841. https://doi.org/10.1080/00273171.2018.1446819Google Scholar
Heron, K. E., & Smyth, J. M. (2010). Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behavior treatments. British Journal of Health Psychology, 15(1), 1–39. https://doi.org/10.1348/135910709X466063Google Scholar
Kim, J., Marcusson-Clavertz, D., Yoshiuchi, K., & Smyth, J. M. (2019). Potential benefits of integrating ecological momentary assessment data into mHealth care systems. BioPsychoSocial Medicine, 13(1), 19. https://doi.org/10.1186/s13030–019-0160-5Google Scholar
Kizakevich, P. N., Eckhoff, R., Brown, J., Tueller, S. J., Weimer, B., Bell, S., Weeks, A., Hourani, L. L., Spira, J. L., & King, L. A. (2018). PHIT for Duty, a mobile application for stress reduction, sleep improvement, and alcohol moderation. Military Medicine, 183, 353–363. https://doi.org/10.1093/milmed/usx157Google Scholar
Kruse, C. S., Lee, K., Watson, J. B., Lobo, L. G., Stoppelmoor, A. G., & Oyibo, S. E. (2020). Measures of effectiveness, efficiency, and quality of telemedicine in the management of alcohol abuse, addiction, and rehabilitation: Systematic review. Journal of Medical Internet Research, 22(1), 1–8. https://doi.org/10.2196/13252Google Scholar
Lauckner, C., Taylor, E., Patel, D., & Whitmire, A. (2019). The feasibility of using smartphones and mobile breathalyzers to monitor alcohol consumption among people living with HIV/AIDS. Addiction Science & Clinical Practice, 14(1), 43. https://doi.org/10.1186/s13722–019-0174-0Google Scholar
Li, R., Dziak, J. J., Tan, X., Huang, L., Wagner, A. T., & Yang, J. (2017). TVEM (time-varying effect model) SAS macro users’ guide (Version 3.1.1). The Methodology Center, Pennsylvania State University. Retrieved from http://methodology.psu.eduGoogle Scholar
Litvin, E. B., Abrantes, A. M., & Brown, R. A. (2013). Computer and mobile technology-based interventions for substance use disorders: An organizing framework. Addictive Behaviors, 38(3), 1747–1756. https://doi.org/10.1016/j.addbeh.2012.09.003Google Scholar
Lord, S., Moore, S. K., Ramsey, A., Dinauer, S., & Johnson, K. (2016). Implementation of a substance use recovery support mobile phone app in community settings: Qualitative study of clinician and staff perspectives of facilitators and barriers. JMIR Mental Health, 3(2), e24. https://doi.org/10.2196/mental.4927Google Scholar
Luczak, S. E., & Rosen, I. G. (2014). Estimating BrAC from transdermal alcohol concentration data using the BrAC estimator software program. Alcoholism: Clinical and Experimental Research, 38(8), 2243–2252. http://dx.doi.org/10.1111/acer.12478Google Scholar
Marques, P. R., & McKnight, A. S. (2009). Field and laboratory alcohol detection with two types of transdermal devices. Alcoholism: Clinical and Experimental Research, 33(4), 703–711. https://doi.org/10.1111/j.1530-0277.2008.00887.xGoogle Scholar
McKnight, A. S., Fell, J. C., & Auld-Owens, A. (2012). Transdermal alcohol monitoring: Case studies (Report No. DOT HS 811 603). US Department of Transportation, National Highway Traffic Safety Administration. www.adtsea.org/webfiles/fnitools/documents/nhtsa-transdermal-alcohol-monitoring.pdfGoogle Scholar
Miller, W. R. (2016). Sacred cows and greener pastures: Reflections from 40 years in addiction research. Alcoholism Treatment Quarterly, 34(1), 92–115. https://doi.org/10.1080/07347324.2015.1077637Google Scholar
Miranda, R., Monti, P. M., Ray, L., Treloar, H. R., Reynolds, E. K., Ramirez, J., Chun, T., Gwaltney, C. J., Justus, A., Tidey, J., Blanchard, A., & Magill, M. (2014a). Characterizing subjective responses to alcohol among adolescent problem drinkers. Journal of Abnormal Psychology, 123(1), 117–129. https://doi.org/10.1037/a0035328Google Scholar
Miranda, R., Ray, L., Blanchard, A., Reynolds, E. K., Monti, P. M., Chun, T., Justus, A., Swift, R. M., Tidey, J., Gwaltney, C. J., & Ramirez, J. (2014b). Effects of naltrexone on adolescent alcohol cue reactivity and sensitivity: An initial randomized trial. Addiction Biology, 19(5), 941–954. https://doi.org/10.1111/adb.12050Google 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. https://doi.org/10.1016/j.addbeh.2017.11.010Google Scholar
Morgenstern, J., Kuerbis, A., & Muench, F. (2014). Ecological momentary assessment and alcohol use disorder treatment. Alcohol Research: Current Reviews, 36(1), 101–110. https://arcr.niaaa.nih.gov/alcohol-research-and-ehealth-technology/ecological-momentary-assessment-and-alcohol-use-disorderGoogle Scholar
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018). Just-in-time adaptive interventions (JITAIs) in mobile health: Key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine, 52(6), 446–462. https://doi.org/10.1007/s12160–016-9830-8Google Scholar
National Institute on Alcohol Abuse and Alcoholism (2020). NIAAA recovery research definitions. www.niaaa.nih.gov/research/niaaa-recovery-from-alcohol-use-disorder/definitionsGoogle Scholar
Neale, J., Vitoratou, S., Finch, E., Lennon, P., Mitcheson, L., Panebianco, D., Rose, D., Strang, J., Wykes, T., & Marsden, J. (2016). Development and validation of “SURE”: A patient reported outcome measure (PROM) for recovery from drug and alcohol dependence. Drug and Alcohol Dependence, 165, 159–167. https://doi.org/10.1016/j.drugalcdep.2016.06.006Google Scholar
O’Brien, C. P. (1994). Treatment of alcoholism as a chronic disorder. Alcohol, 11(6), 433–437. https://doi.org/10.1016/0741-8329(94)90063-9Google Scholar
Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2016). Bayesian data analysis with the bivariate hierarchical Ornstein-Uhlenbeck process model. Multivariate Behavioral Research, 51(1), 106–119. https://doi.org/10.1080/00273171.2015.1110512Google Scholar
Pew Research Center (2019). Mobile fact sheet. www.pewresearch.org/internet/fact-sheet/mobile/Google Scholar
Ramsey, A., Lord, S., Torrey, J., Marsch, L., & Lardiere, M. (2016). Paving the way to successful implementation: Identifying key barriers to use of technology-based therapeutic tools for behavioral health care. Journal of Behavioral Health Services & Research, 43(1), 54–70. https://doi.org/10.1007/s11414–014-9436-5Google Scholar
Roos, C. R., Kober, H., Trull, T. J., MacLean, R. R., & Mun, C. J. (2020). Intensive longitudinal methods for studying the role of self-regulation strategies in substance use behavior change. Current Addiction Reports, 7(3), 301–316. https://doi.org/10.1007/s40429–020-00329-5Google Scholar
Sakai, J. T., Mikulich‐Gilbertson, S. K., Long, R. J., & Crowley, T. J. (2006). Validity of transdermal alcohol monitoring: Fixed and self‐regulated dosing. Alcoholism: Clinical and Experimental Research, 30(1), 26–33. https://doi.org/10.1111/j.1530-0277.2006.00004.xGoogle Scholar
Scott, C. K., & Dennis, M. L. (2009). Results from two randomized clinical trials evaluating the impact of quarterly recovery management check-ups with adult chronic substance users. Addiction, 104(6), 959–971. https://doi.org/10.1111/j.1360-0443.2009.02525.xGoogle Scholar
Serre, F., Fatseas, M., Swendsen, J., & Auriacombe, M. (2015). Ecological momentary assessment in the investigation of craving and substance use in daily life: A systematic review. Drug and Alcohol Dependence, 148, 1–20. https://doi.org/10.1016/j.drugalcdep.2014.12.024Google Scholar
Shiffman, S. (2009). Ecological momentary assessment (EMA) in studies of substance use. Psychological Assessment, 21(4), 486–497. https://doi.org/10.1037/a0017074Google Scholar
Shiffman, S. (2014). Conceptualizing analyses of ecological momentary assessment data. Nicotine and Tobacco Research, 16(SUPPL2), 76–87. https://doi.org/10.1093/ntr/ntt195Google Scholar
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32. https://doi.org/10.1146/annurev.clinpsy.3.022806.091415Google Scholar
Simons, J. S., Wills, T. A., Emery, N. N., & Marks, R. M. (2015). Quantifying alcohol consumption: Self-report, transdermal assessment, and prediction of dependence symptoms. Addictive Behaviors, 50, 205–212. https://doi.org/10.1016/j.addbeh.2015.06.042Google Scholar
Simons, J. S., Wills, T. A., & Neal, D. J. (2014). The many faces of affect: A multilevel model of drinking frequency/quantity and alcohol dependence symptoms among young adults. Journal of Abnormal Psychology, 123(3), 676–694. https://doi.org/10.1037/a0036926Google Scholar
Stevenson, B. L., Dvorak, R. D., Kramer, M. P., Peterson, R. S., Dunn, M. E., Leary, A. V., & Pinto, D. (2019). Within- and between-person associations from mood to alcohol consequences: The mediating role of enhancement and coping drinking motives. Journal of Abnormal Psychology, 128(8), 813–822. https://doi.org/10.1037/abn0000472Google Scholar
Suffoletto, B., Callaway, C., Kristan, J., Kraemer, K., & Clark, D. B. (2012). Text-message-based drinking assessments and brief interventions for young adults discharged from the emergency department. Alcoholism: Clinical and Experimental Research, 36(3), 552–560. https://doi.org/10.1111/j.1530-0277.2011.01646.xGoogle Scholar
Suffoletto, B., Dasgupta, P., Rayuymatiao, B. S., Huber, J., & Flickinger, K. (2020). A preliminary study using smartphone accelerometers to sense gait impairments due to alcohol intoxication. Journal of Studies on Alcohol and Drugs, 81, 505–510. https://doi.org/10.15288/jsad.2020.81.505Google Scholar
Suffoletto, B., Kristan, J., Callaway, C., Kim, K. H., Chung, T., Monti, P. M., & Clark, D. B. (2014). A text message alcohol intervention for young adult emergency department patients: A randomized clinical trial. Annals of Emergency Medicine, 64(6), 664–672. e4. https://doi.org/10.1016/j.annemergmed.2014.06.010Google Scholar
Swift, R. (2000). Transdermal alcohol measurement for estimation of blood alcohol concentration. Alcoholism: Clinical and Experimental Research, 24(4), 422–423. https://doi.org/10.1111/j.1530-0277.2000.tb02006.xGoogle Scholar
Trull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9, 151–176. https://doi.org/10.1146/annurev-clinpsy-050212-185510Google Scholar
Trull, T. J., & Ebner-Priemer, U. (2014). The role of ambulatory assessment in psychological science. Current Directions in Psychological Science, 23(6), 466–470. https://doi.org/10.1177/0963721414550706Google Scholar
Tucker, J. A., Foushee, H. R., Black, B. C., & Roth, D. L. (2007). Agreement between prospective interactive voice response self-monitoring and structured retrospective reports of drinking and contextual variables during natural resolution attempts. Journal of Studies on Alcohol and Drugs, 68(4), 538–542. https://doi.org/10.15288/jsad.2007.68.538Google Scholar
Tugade, M. M., Conner, T., & Barrett, L. F. (2007). Assessment of mood. In Ayers, S., Baum, A., McManus, C., Newman, S., Wallston, K., Weinman, J., & West, R. (Eds.), The Cambridge handbook of psychology, health, and medicine (2nd ed.), pp. 278–286. Cambridge University Press.Google Scholar
Wang, L., & Miller, L. C. (2020). Just-in-the-moment adaptive interventions (JITAI): A meta-analytical review. Health Communication, 35(12), 1531–1544. https://doi.org/10.1080/10410236.2019.1652388Google Scholar
Witkiewitz, K., Desai, S. A., Bowen, S., Leigh, B. C., Kirouac, M., & Larimer, M. E. (2014). Development and evaluation of a mobile intervention for heavy drinking and smoking among college students. Psychology of Addictive Behaviors, 28(3), 639–650. https://doi.org/10.1037/a0034747Google Scholar
Witkiewitz, K., Montes, K. S., Schwebel, F. J., & Tucker, J. A. (2020). What is recovery? Alcohol Research: Current Reviews, 40(3), 1–12. https://doi.org/10.35946/arcr.v40.3.01Google Scholar
Wray, T. B., Merrill, J. E., & Monti, P. M. (2014). Using ecological momentary assessment (EMA) to assess situation-level predictors of alcohol use and alcohol-related consequences. Alcohol Research: Current Reviews, 36(1), 19–28. https://arcr.niaaa.nih.gov/alcohol-research-and-ehealth-technology/using-ecological-momentary-assessment-ema-assess-situationGoogle Scholar

References

Aronson, B., Yang, K. C., Odabas, M., Ahn, Y. Y., & Perry, B. L. (2020). Comparing measures of centrality in bipartite social networks: A study of drug seeking for opioid analgesics. https://osf.io/preprints/socarxiv/hazvs/Google Scholar
Beckwith, M., Best, D., Savic, M., Haslam, C., Bathish, R., Dingle, G., Mackenzie, J., Staiger, P. K., & Lubman, D. I. (2019). Social identity mapping in addiction recovery (SIM-AR): Extension and application of a visual method. Addiction Research & Theory, 27(6), 462–471. https://doi.org/10.1080/16066359.2018.1544623Google Scholar
Bedi, P., & Sharma, C. (2016). Community detection in social networks. Wiley interdisciplinary reviews: Data mining and knowledge discovery, 6(3), 115–135.  https://doi.org/10.1002/widm.1178Google Scholar
Buchanan, A. S., & Latkin, C. A. (2008). Drug use in the social networks of heroin and cocaine users before and after drug cessation. Drug and Alcohol Dependence, 96(3), 286–289. https://doi.org/10.1016/j.drugalcdep.2008.03.008Google Scholar
Clifford, P. R., & Longabaugh, R. (1991). Manual for the administration of the Important People and Activities Instrument. Adapted for Project MATCH for NIAAA R01AA06698–05, R. Longabaugh, Principal Investigator. https://pubs.niaaa.nih.gov/publications/AssessingAlcohol/InstrumentPDFs/39_IPA.pdfGoogle Scholar
DeMartini, K. S., Prince, M. A., & Carey, K. B. (2013). Identification of trajectories of social network composition change and the relationship to alcohol consumption and norms. Drug and Alcohol Dependence, 132(1-2), 309–315. https://doi.org/10.1016/j.drugalcdep.2013.02.020Google Scholar
Groh, D. R., Jason, L. A., Davis, M. I., Olson, B. D., & Ferrari, J. R. (2007). Friends, family, and alcohol abuse: An examination of general and alcohol-specific social support. American Journal on Addictions, 16(1), 49–55. https://doi.org/10.1080/10550490601080084Google Scholar
Groh, D., Jason, L. A., Ferrari, J., & Halpert, J. (2011). A longitudinal investigation of the predictability of the three-factor model of the Important People Inventory. American Journal of Drug and Alcohol Abuse, 37(4), 259–263. https://doi.org/10.3109.00952990.2011.591017Google Scholar
Groh, D. R., Jason, L. A., & Keys, C. B. (2008). Social network variables in alcoholics anonymous: A literature review. Clinical Psychology Review, 28(3), 430–450. https://doi.org/10.1016/j.cpr.2007.07.014Google Scholar
Hallgren, K. A., & Barnett, N. P. (2016). Briefer assessment of social network drinking: A test of the Important People Instrument–5 (IP-5). Psychology of Addictive Behaviors, 30(8), 955. https://doi.org/10.1037/adb0000218Google Scholar
Hallgren, K. A., Ladd, B. O., & Greenfield, B. L. (2013). Psychometric properties of the Important People Instrument with college student drinkers. Psychology of Addictive Behaviors, 27(3), 819–825. https://doi.org/10.1037/a0032346Google Scholar
Hallgren, K. A., Greenfield, B. L., & Ladd, B. O. (2016). Psychometric properties of the adolescent reinforcement survey schedule-alcohol use version with college student drinkers. Substance Use & Misuse, 51(7), 812–822. https://doi.org/10.3109/10826084.2016.1155609Google Scholar
Huang, G. C., Unger, J. B., Soto, D., Fujimoto, K., Pentz, M. A., Jordan-Marsh, M., & Valente, T. W. (2014). Peer influences: The impact of online and offline friendship networks on adolescent smoking and alcohol use. Journal of Adolescent Health, 54(5), 508–514. https://doi.org/10.1016/j.jadohealth.2013.07.001Google Scholar
Jason, L. A., Stevens, E., Kassanits, J., Reilly, A., Bobak, T., Guerrero, M., & Doogan, N. J. (2020). Recovery homes: A social network analysis of Oxford Houses for Native Americans. Journal of Ethnicity in Substance Abuse, 19(2), 174–189. https://doi.org/10.1080/15332640.2018.1489748Google Scholar
Kreager, D. A., Schaefer, D. R., Davidson, K. M., Zajac, G., Haynie, D. L., & De Leon, G. (2019). Evaluating peer-influence processes in a prison-based therapeutic community: A dynamic network approach. Drug and Alcohol dependence, 203, 13–18. https://doi.org/10.1016/j.drugalcdep.2019.05.018Google Scholar
Levitt, E. E., Oshri, A., Clifton, A., Stout, R., Costello, M. J., VanDellen, M., Kelly, J. F., & MacKillop, J. (2019). Psychometric validation of the brief alcohol social density assessment in an adult community. Alcoholism: Clinical and Experimental Research, 44(1), 212–218. https://doi.org/10.1016/j.jsat.2019.12.009Google Scholar
Longabaugh, R., Wirtz, P. W., Zweben, A., & Stout, R. L. (1998). Network support for drinking, Alcoholics Anonymous, and long‐term matching effects. Addiction, 93(9), 1313–1333. https://doi.org/10.1046/j.1360-0443.1998.93913133.xGoogle Scholar
Longabaugh, R., Wirtz, P. W., Zywiak, W. H., & O’Malley, S. S. (2010). Network support as a prognostic indicator of drinking outcomes: The COMBINE study. Journal of Studies on Alcohol and Drugs, 71(6), 837–846. https://doi.org/10.15288/jsad.2010.71.837Google Scholar
McCarty, C., Lubbers, M. J., Vacca, R., & Molina, J. L. (2019). Conducting personal network research: A practical guide. Guilford.Google Scholar
McCrady, B. S. (2004). To have but one true friend: Implications for practice of research on alcohol use disorders and social network. Psychology of Addictive Behaviors, 18(2), 113. https://doi.org/10.1037/0893-164X.18.2.113Google Scholar
McCulloh, I., Armstrong, H., & Johnson, A. (2013). Social network analysis with applications. John Wiley & Sons.Google Scholar
Mundt, M. P., Mercken, L., & Zakletskaia, L. (2012). Peer selection and influence effects on adolescent alcohol use: A stochastic actor-based model. BMC Pediatrics, 12(1), 115. https://doi.org.10.1186/1471-2431-12-115Google Scholar
Nargiso, J. E., Kuo, C. C., Zlotnick, C., & Johnson, J. E. (2014). Social support network characteristics of incarcerated women with co-occurring major depressive and substance use disorders. Journal of psychoactive drugs, 46(2), 93–105. https://doi.org/10.1080/02791072.2014.890766Google Scholar
Orford, J., Krishnan, M., Balaam, M., Everitt, M., & Van der Graaf, K. (2004). University student drinking: The role of motivational and social factors. Drugs: Education, Prevention and Policy, 11(5), 407–421. https://doi.org/10.1080.09687630310001657944Google Scholar
Owens, M. D., & McCrady, B. S. (2014). The role of the social environment in alcohol or drug relapse of probationers recently released from jail. Addictive Disorders & Their Treatment, 13(4), 179. https://doi.org/10.1097/ADT.0000000000000039Google Scholar
Patterson, M. S., Russell, A. M., Nelon, J. L., Barry, A. E., & Lanning, B. A. (2020). Using social network analysis to understand sobriety among a campus recovery community. Journal of Student Affairs Research and Practice, 1–16. https://doi.org/10.1080/19496591.2020.1713142Google Scholar
Ripley, R. M., Snijders, T. A. B., Boda, Z., Voros, A., & Preciado, P. (2020). Manual for RSiena (Version 4.0, R package Version 1.2-23). [Computer software] www.cran.r-project.org/web/packages/RSiena/Google Scholar
Roberts, M. E., Nargiso, J. E., Gaitonde, L. B., Stanton, C. A., & Colby, S. M. (2015). Adolescent social networks: General and smoking-specific characteristics associated with smoking. Journal of Studies on Alcohol and Drugs, 76(2), 247–255. https://doi.org/10.15288/jsad.2015.76.247Google Scholar
Scott, J., & Carrington, P. J. (2011). The SAGE handbook of social network analysis. SAGE Publications.Google Scholar
Snijders, T.A.B. (1996). Stochastic actor‐oriented models for network change. Journal of Mathematical Sociology, 21(1-2), 149–172. https://doi.org/10.1080/0022250X.1996.9990178Google Scholar
Snijders, T. A. B., Van de Bunt, G. G., & Steglich, C. E. (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32(1), 44–60. https://doi.org/10.1016/j.socnet.2009.02.004Google Scholar
Spiro, E. S., Acton, R. M., & Butts, C. T. (2013). Extended structures of mediation: Re-examining brokerage in dynamic networks. Social Networks, 35(1), 130–143. https://doi.org/10.1016/j.socnet.2013.02.011Google Scholar
Tucker, J. A., Cheong, J., Chandler, S. D., Crawford, M. S., & Simpson, C. A. (2015). Social networks and substance use among at-risk emerging adults living in disadvantaged urban areas in the southern United States: A cross-sectional naturalistic study. Addiction, 110(9), 1524–1532. https://doi.org/10.1111/add.13010Google Scholar
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press. https://doi.org/10.1017/CBO9780511815478Google Scholar
Weisstein, E. W.Matrix multiplication. Wolfram MathWorld – A Wolfram Web Resource. https://mathworld.wolfram.com/MatrixMultiplication.htmlGoogle Scholar
White, W. L. (2007). Addiction recovery: Its definition and conceptual boundaries. Journal of Substance Abuse Treatment, 33(3), 229–241. https://doi.org/10.1016/j.jsat.2007.04/015Google Scholar
Worley, M. J., Witkiewitz, K., Brown, S. A., Kivlahan, D. R., & Longabaugh, R. (2015). Social network moderators of naltrexone and behavioral treatment effects on heavy drinking in the COMBINE study. Alcoholism: Clinical and Experimental Research, 39(1), 93–100. https://doi.org/10.1111/acer.12605Google Scholar
Zywiak, W. H., Longabaugh, R., & Wirtz, P. W. (2002). Decomposing the relationships between pre-treatment social network characteristics and alcohol treatment outcome. Journal of Studies on Alcohol, 63(1), 114–121.Google Scholar
Zywiak, W. H., Neighbors, C. J., Martin, R. A., Johnson, J. E., Eaton, C. A., & Rohsenow, D. J. (2009). The Important People Drug and Alcohol interview: Psychometric properties, predictive validity, and implications for treatment. Journal of Substance Abuse Treatment, 36(3), 321–330. https://doi.org/10.1016/j.jsat.2008.08.001Google Scholar

References

Acuff, S. F., Amlung, M. T., Dennhardt, A. A., MacKillop, J., & Murphy, J. G. (2020b). Experimental manipulations of behavioral economic demand for addictive commodities: A meta-analysis. Addiction, 115(5), 817–831. https://doi.org/10.1111/add.14865Google Scholar
Acuff, S. F., Luciano, M. T., Soltis, K. E., Joyner, K. J., McDevitt-Murphy, M. E., & Murphy, J. G. (2018b). Access to environmental reward mediates the relation between posttraumatic stress symptoms and alcohol problems and craving. Experimental and Clinical Psychopharmacology, 25(5), 412–421. https://doi.org/10.1037/pha0000181Google Scholar
Acuff, S. F., & Murphy, J. G. (2017). Further examination of the temporal stability of alcohol demand. Behavioral Processes, 141(Part 1), 33–41. https://doi.org/10.1016/j.beproc.2017.03.020Google Scholar
Acuff, S. F., Soltis, K. E., Dennhardt, A. A., Borsari, B., Martens, M. P., & Murphy, J. G. (2017). Future so bright? Delay discounting and consideration of future consequences predict academic performance among college drinkers. Experimental and Clinical Psychopharmacology, 25(5), 412–421. https://doi.org/10.1037/pha0000143Google Scholar
Acuff, S. F., Soltis, K. E., & Murphy, J. G. (2020a). Using demand curves to quantify the reinforcing value of social and solitary drinking. Alcoholism: Clinical and Experimental Research, 44(7), 1497–1507. https://doi.org/10.1111/acer.14382Google Scholar
Ainslie, G., & Herrnstein, R. J. (1981). Preference reversal and delayed reinforcement. Animal Learning & Behavior, 9(4), 476–482. https://doi.org/10.3758/BF03209777Google Scholar
Amlung, M. T., Acker, J. D., Stojek, M. K., Murphy, J. G., & MacKillop, J. (2012). Is talk “cheap”? An initial investigation of the equivalence of alcohol purchase task performance for hypothetical and actual rewards. Alcoholism: Clinical and Experimental Research, 36(4), 716–724. https://doi.org/10.1111/j.1530-0277.2011.01656.xGoogle Scholar
Amlung, M. T., & MacKillop, J. (2015). Further evidence of close correspondence for alcohol demand decision making for hypothetical and incentivized rewards. Behavioral Processes, 113, 187–191. https://doi.org/10.1016/j.beproc.2015.02.012Google Scholar
Andrabi, N., Khoddam, R., & Leventhal, A. M. (2017). Socioeconomic disparities in adolescent substance use: Role of enjoyable alternative substance-free activities. Social Science & Medicine, 176, 175–182. https://doi.org/10.1016/j.socscimed.2016.12.032Google Scholar
Annis, H. M., & Graham, J. M. (1988). Situational Confidence Questionnaire user’s guide.  Addiction Research Foundation.Google Scholar
Annis, H. M., Graham, J., & Davis, C. (1987). Inventory of Drinking Situations (IDS) user’s guide. Addiction Research Foundation.Google Scholar
Annis, H. M., Martin, G., & Graham, J. M. (1992). Inventory of Drug-Taking Situations (IDTS): User’s guide. Addiction Research Foundation.Google Scholar
Armento, M. E. A., & Hopko, D. R. (2007). The environmental reward observation scale (EROS): Development, validity, and reliability. Behavior Therapy, 38(2), 107–119. https://doi.org/10.1016/j.beth.2006.05.003Google Scholar
Audrain-McGovern, J. E., Rodriguez, D., Epstein, L. H., Rodgers, K., Cuevas, J., & Wileyto, E. P. (2009). Young adult smoking: What factors differentiate ex-smokers, smoking cessation treatment seekers, and nontreatment seekers?Addictive Behaviors, 34(12), 1036–1041. https://doi.org/10.1016/j.addbeh.2009.06.012Google Scholar
Audrain-McGovern, J. E., Rodriguez, D., Rodgers, K., & Cuevas, J. (2010). Declining alternative reinforcers link depression to young adult smoking. Addiction, 106(1), 178–187. https://doi.org/10.1111/j.1360-0443.2010.03113.xGoogle Scholar
Baum, W. M. & Rachlin, H. C. (1969). Choice as time allocation. Journal of Experimental Annals of Behavior, 12 ,861–874. https://doi.org/10.1901/jeab.1969.12-861Google Scholar
Benson, T. A., Little, C. S., Henslee, A. M., & Correia, C. J. (2009). Effects of reinforcer magnitude and alternative reinforcer delay on preference for alcohol during a multiple-choice procedure. Drug and Alcohol Dependence, 100(1–2), 161–163. https://doi.org/10.1016/j.drugalcdep.2008.09.005Google Scholar
Berry, M. S., Sweeney, M. M., Morath, J., Odum, A. L., & Jordan, K. E. (2014). The nature of impulsivity: Visual exposure to natural environments decreases impulsive decision-making in a delay discounting task. PloS one, 9(5), e97915. https://doi.org/10.1371/journal.pone.0097915Google Scholar
Berry, M. S., Repke, M. A., Nickerson, N. P., Conway, L. G., Odum, A. L., & Jordan, K. E. (2015). Making time for nature: Visual exposure to natural environments lengthens subjective time perception and reduces impulsivity. PloS one, 10(11), e0141030. https://doi.org/10.1371/journal.pone.0141030Google Scholar
Bertholet, N., Murphy, J. G., Daeppen, J. B., Gmel, G., & Gaume, J. (2015). The alcohol purchase task in young men from the general population. Drug and Alcohol Dependence, 146(1), 39–44. https://doi.org/10.1016/j.drugalcdep.2014.10.024Google Scholar
Bickel, W. K., Johnson, M. W., Koffarnus, M. N., MacKillop, J., & Murphy, J. G. (2014). The behavioral economics of substance use disorders: Reinforcement pathologies and their repair. Annual Review of Clinical Psychology, 10, 641–677. https://doi.org/10.1146/annurev-clinpsy-032813-153724Google Scholar
Boswell, J. F., Iles, B. R., Gallagher, M. W., & Farchione, T. J. (2017). Behavioral activation strategies in cognitive-behavioral therapy for anxiety disorders. Psychotherapy, 54(3), 231–236. https://doi.org/10.1037/pst0000119Google Scholar
Bujarski, S., MacKillop, J., & Ray, L. A. (2012). Understanding naltrexone mechanism of action and pharmacogenetics in Asian Americans via behavioral economics: A preliminary study. Experimental and Clinical Psychopharmacology, 20(3), 181–190. https://doi.org/10.1037/a0027379Google Scholar
Carvalho, J. P., Gawrysiak, M. J., Hellmuth, J. C., McNulty, J. K., Magidson, J. F., Lejuez, C. W., & Hopko, D. R. (2011). The reward probability index: Design and validation of a scale measuring access to environmental reward. Behavior Therapy, 42(2), 249–262. https://doi.org/10.1016/j.beth.2010.05.004Google Scholar
Correia, C. J., & Carey, K. B. (1999). Applying behavioral theories of choice to substance use in a sample of psychiatric outpatients. Psychology of Addictive Behaviors, 13(3), 207–212. https://doi.org/10.1037/0893-164X.13.3.207Google Scholar
Correia, C. J., Carey, K. B., & Borsari, B. (2002). Measuring substance-free and substance-related reinforcement in the natural environment. Psychology of Addictive Behaviors, 16(1), 28–34. https://doi.org/10.1037//0893-164X.16.1.28Google Scholar
Correia, C. J., Simons, J. S., Carey, K. B., & Borsari, B. E. (1998). Predicting drug use: Application of behavioral theories of choice. Addictive Behaviors, 23(5), 705–709. https://doi.org/10.1016/S0306–4603(98)00027-6Google Scholar
Daughters, S. B., Braun, A. R., Sargeant, M. N., Reynolds, E. K., Hopko, D. R., Blanco, C., & Lejuez, C. W. (2008). Effectiveness of a brief behavioral treatment for inner-city illicit drug users with elevated depressive symptoms: The life enhancement treatment for substance use (LETS Act!). Journal of Clinical Psychiatry, 8, 1–8. https://doi.org/10.4088/jcp.v69n0116Google Scholar
Daughters, S. B., Magidson, J. F., Anand, D., Seitz‐Brown, C. J., Chen, Y., & Baker, S. (2018) The effect of a behavioral activation treatment for substance use on post‐treatment abstinence: A randomized controlled trial. Addiction, 113: 535–544. https://doi.org/10.1111/add.14049Google Scholar
Daughters, S. B., Magidson, J. F., Lejuez, C. W., & Chen, Y. (2016). LETS ACT: A behavioral activation treatment for substance use and depression. Journal of Dual Diagnosis, 9(2/3), 74–84. https://doi.org/10.1108/ADD-02-2016-0006Google Scholar
Davison, M., & Baum, W. M. (2000). Choice in a variable environment: Every reinforcer counts. Journal of the Experimental Analysis of Behavior, 74(1), 1–24. https://doi.org/10.1901/jeab.2000.74-1Google Scholar
Davison, M., & Baum, W. M. (2003). Every reinforcer counts: Reinforcer magnitude and local preference. Journal of the Experimental Analysis of Behavior, 80(1), 95–129. https://doi.org/10.1901/jeab.2003.80-95Google Scholar
Dennhardt, A. A., Yurasek, A. M., & Murphy, J. G. (2015). Change in delay discounting and substance reward value following a brief alcohol and drug use intervention. Journal of the Experimental Analysis of Behavior, 103(1), 125–140. https://doi.org/10.1002/jeab.121Google Scholar
DiClemente, C. C., Carbonari, J. P., Mongomery, R. P. G., & Hughes, S. O. (1994). The Alcohol Abstinence Self-Efficacy Scale. Journal of Studies on Alcohol, 55(2), 141–148. https://doi.org/10.15288/jsa.1994.55.141Google Scholar
Donovan, D. M. (2003). Assessments to aid in the treatment planning process. In Allen, J. P. & Wilson, V. B. (Eds.), Assessing alcohol problems: A guide for clinicians and researchers (2nd ed., pp. 125–188) (NIH Publication No. 03–3745). National Institute of Alcohol Abuse and Alcoholism.Google Scholar
Donovan, D. M. (2013). Evidence-based assessment: Strategies and measures in addictive behaviors. In McCrady, B. S. & Epstein, E. E. (Eds.), Addictions: A comprehensive guidebook (2nd ed., pp. 311–351). Oxford University Press.Google Scholar
Epstein, E. E., & McCrady, B. S. (2009). A cognitive-behavioral treatment program for overcoming alcohol problems: Therapist guide. Oxford University Press. http://ezproxy.memphis.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2009-06101-000&site=ehost-liveGoogle Scholar
Fenzel, L. M. (2005). Multivariate analyses of predictors of heavy episodic drinking and drinking-related problems among college students. Journal of College Student Development, 46(2), 126–140. https://doi.org/10.1353/csd.2005.0013Google Scholar
Gilbert, L. J., Murphy, J. G., & Dennhardt, A. A. (2014). A behavioral economic analysis of the effect of next-day responsibilities on drinking. Psychology of Addictive Behaviors, 28(4), 1253–1258. https://doi.org/10.1037/a0038369Google Scholar
Griffiths, R. R., Brady, J. V., & Bradford, L. D. (1979). Predicting the abuse liability of drugs with animal drug self-administration procedures: Psychomotor stimulants and hallucinogens. In Thompson, T. & Dews, P. B. (Eds.), Advances in Behavioral Pharmacology (vol. 2) (pp. 163–208). Academic Press.Google Scholar
Halkitis, P. N., Parsons, J. T., & Wilton, L. (2003). An exploratory study of contextual and situation factors related to methamphetamine use among gay and bisexual men in New York City. Journal of Drug Issues, 33 ,413–432. https://doi.org/10.1177/002204260303300207Google Scholar
Hallgren, K. A., Greenfield, B. L., & Ladd, B. O. (2016). Psychometric properties of the adolescent reinforcement survey schedule-alcohol use version with college student drinkers. Substance Use and Misuse, 51(7), 812–822. https://doi.org/10.3109/10826084.2016.1155609Google Scholar
Herrnstein, R. J. (1970). On the law of effect. Journal of Experimental Analysis of Behavior, 13 , (2), 243–266. https://doi.org/10.1901/jeab.1970.13-243Google Scholar
Higgins, S. T., Heil, S. H., & Lussier, J. P. (2004). Clinical implications of reinforcement as a determinant of substance use disorders. Annual Review of Psychology, 55 , 431–461. https://doi.org/10.1146/annurev.psych.55.090902.142033Google Scholar
Holmes, G. R., Heckel, R. V., Chestnut, E., Harris, N., & Cautela, J. (1987). Factor analysis of the adolescent reinforcement survey schedule (ARSS) with college freshmen. Journal of Clinical Psychology, 43(4), 386–390. https://doi.org/10.1002/1097-4679(198707)43:4<386::AID-JCLP2270430408>3.0.CO;2-EGoogle Scholar
Holmes, G. R., Sakano, Y., Cautela, J., & Holmes, G. L. (1991). Comparison of factor‐analyzed adolescent reinforcement survey schedule (ARSS) responses from Japanese and American adolescents. Journal of Clinical Psychology, 47(6), 749–755. https://doi.org/10.1002/1097-4679(199111)47:6<749::AID-JCLP2270470604>3.0.CO;2-GGoogle Scholar
Hursh, S. R. (1984). Behavioral economics. Journal of the Experimental Analysis of Behavior, 42(3), 435–452. https://doi.org/10.1901/jeab.1984.42-435Google Scholar
Johnson, M. W. & Bickel, W. K. (2006). Replacing relative reinforcing efficacy with behavioral economic demand curves. Journal of the Experimental Analysis of Behavior, 85 ,73–93. https://doi.org/10.1901/jeab.2006.102-04Google Scholar
Johnson, M. W., Bickel, W. K., & Baker, F. (2007). Moderate drug use and delay discounting: A comparison of heavy, light, and never smokers. Experimental and Clinical Psychopharmacology, 15(2), 187–194. https://doi.org/10.1037/1064-1297.15.2.187Google Scholar
Joyner, K. J., Meshesha, L. Z., Dennhardt, A. A., Borsari, B., Martens, M. P., & Murphy, J. G. (2019). High opportunity cost demand as an indicator of weekday drinking and distinctly severe alcohol problems: A behavioral economic analysis. Alcoholism: Clinical and Experimental Research, 43(12), 2607–2619. https://doi.org/10.1111/acer.14206Google Scholar
Joyner, K. J., Pickover, A. M., Soltis, K. E., Dennhardt, A. A., Martens, M. P., & Murphy, J. G. (2016). Deficits in access to reward are associated with college student alcohol use disorder. Alcoholism: Clinical and Experimental Research, 40(12), 2685–2691. https://doi.org/10.1111/acer.13255Google Scholar
Kelly, B. C., & Parsons, J. T. (2008). Predictors and comparisons of polydrug and non-polydrug cocaine use in club subcultures. American Journal of Drug and Alcohol Abuse, 24, 774–781. https://doi.org/10.1080/00952990802455451Google Scholar
Khoddam, R., Cho, J., Jackson, N. J., & Leventhal, A. M. (2018). Diminished alternative reinforcement as a mechanism linking conduct problems and substance use in adolescence: A longitudinal examination. Addiction, 113(6), 1139–1148. https://doi.org/10.1111/add.14160Google Scholar
Koffarnus, M. N., Jarmolowicz, D. P., Mueller, E. T., & Bickel, W. K. (2013). Changing delay discounting in the light of the competing neurobehavioral decision systems theory: A review. Journal of the Experimental Analysis of Behavior, 99(1), 32–57. https://doi.org/10.1002/jeab.2Google Scholar
Lau-Barraco, C., Linden-Carmichael, A. N., Braitman, A. L., & Stamates, A. L. (2016). Identifying patterns of situation antecedents to heavy drinking among college students. Addiction Research and Theory, 24(6), 431–440. https://doi.org/10.3109/16066359.2016.1153077Google Scholar
Lemley, S. M., Kaplan, B. A., Reed, D. D., Darden, A. C., & Jarmolowicz, D. P. (2016). Reinforcer pathologies: Predicting alcohol related problems in college drinking men and women. Drug and Alcohol Dependence, 167, 57–66. https://doi.org/10.1016/j.drugalcdep.2016.07.025Google Scholar
Lewinsohn, P. M. (1974). A behavioral approach to depression. In Friedman, R. J. & Katz, M. M. (Eds.), The psychology of depression: Contemporary theory and research (pp. 157–174).  John Wiley & Sons.Google Scholar
Lewinsohn, P. M., Sullivan, J. M., & Grosscup, Sally, J. (1980). Changing reinforcing events: An approach to the treatment of depression. Psychotherapy: Theory, Research, & Practice, 17(3), 322–334. https://doi.org/10.1037/h0085929Google Scholar
Luciano, M. T., Acuff, S. F., McDevitt-Murphy, M. E., & Murphy, J. G. (2019). Behavioral economics and coping-related drinking motives in trauma exposed drinkers: Implications for the self-medication hypothesis. Experimental and Clinical Psychopharmacology, 28(3), 265–270. https://doi.org/10.1037/pha0000318Google Scholar
MacKillop, J., Amlung, M. T., & Acker, J. D. (2010a). Further validation of an alcohol purchase task: Equivalence of versions for hypothetical and actual rewards. Alcoholism: Clinical and Experimental Research, 34(6), 48A. https://doi.org/10.1111/j.1530-0277.2010.01210.xGoogle Scholar
MacKillop, J. & Murphy, J. G. (2007). A behavioral economic measure of demand for alcohol predicts brief intervention outcomes, Drug and Alcohol Dependence, 89(2–3), 227–233. https://psycnet.apa.org/doi/10.1016/j.drugalcdep.2007.01.002Google Scholar
MacKillop, J., O’Hagen, S., Lisman, S. A., Murphy, J. G., Ray, L. A., Tidey, J. W., McGeary, J. E., & Monti, P. M. (2010b). Behavioral economic analysis of cue-elicited craving for alcohol. Addiction, 105(9), 1599–1607. https://doi.org/10.1111/j.1360-0443.2010.03004.xGoogle Scholar
MacPherson, L., Collado, A., Ninnemann, A., & Hoffman, E. (2017). Development of a behavioral activation-based intervention for cigarette-smoking young adults. Cognitive and Behavioral Practice, 24(1), 101–114. https://doi.org/10.1016/j.cbpra.2016.03.004Google Scholar
MacPherson, L., Tull, M. T., Matusiewicz, A. K., Rodman, S., Strong, D. R., Kahler, C. W., Hopko, D. R., Zvolensky, M. J., Brown, R. A., & Lejuez, C. W. (2010). Randomized controlled trial of behavioral activation smoking cessation treatment for smokers with elevated depressive symptoms. Journal of Consulting and Clinical Psychology, 78(1), 55–61. https://doi.org/10.1037/a0017939Google Scholar
MacPhillamy, D. J., & Lewinsohn, P. M. (1982). The pleasant events schedule: Studies on reliability, validity, and scale intercorrelation. Journal of Consulting and Clinical Psychology, 50(3), 363–380. https://doi.org/10.1037/0022-006X.50.3.363Google Scholar
Magidson, J. F., Gorka, S. M., MacPherson, L., Hopko, D. R., Blanco, C., Lejuez, C. W., & Daughters, S. B. (2011). Examining the effect of the life enhancement treatment for substance use (LETS ACT) on residential substance abuse treatment retention. Addictive Behaviors, 36(6), 615–623. https://doi.org/10.1016/j.addbeh.2011.01.016Google Scholar
Magidson, J. F., Robustelli, B. L., Seitz-Brown, C. J., & Whisman, M. A. (2016). Activity enjoyment, not frequency, is associated with alcohol-related problems and heavy episodic drinking. Psychology of Addictive Behaviors, 31(1), 73–78. https://doi.org/10.1037/adb0000220Google Scholar
Maisto, S. A, Carey, K. B, & Bradizza, C. M. (1999). Social learning theory. In Leonard, K. E. & Blaine, H. T. (Eds.), Psychological theories of drinking and alcoholism (pp. 106–163). Guilford.Google Scholar
Marlatt, G. A. & Donovan, D., M. (Eds.). (2005). Relapse prevention: Maintenance strategies in the treatment of addictive behaviors. Guildford.Google Scholar
Marlatt, G. A. & Gordon, J. R. (Eds.) (1985). Relapse prevention: Maintenance strategies in the treatment of addictive behaviors. Guilford.Google Scholar
Mazur, J. E. (1987). An adjusting procedure for studying delayed reinforcement. In Commons, M. L., Mazur, J. E., Nevin, J. A., & Rachlin, H. (Eds.), Quantitative analyses of behavior (vol. 5). The effect of delay and of intervening events on reinforcement value (pp. 55–73). Lawrence Erlbaum.Google Scholar
Meshesha, L. Z., Dennhardt, A. A., & Murphy, J. G. (2015). Polysubstance use is associated with deficits in substance-free reinforcement in college students. Journal of Studies on Alcohol and Drugs, 76(1), 106–116. www.ncbi.nlm.nih.gov/pubmed/25486399Google Scholar
Meshesha, L. Z., Pickover, A. M., Teeters, J. B., & Murphy, J. G. (2017). A longitudinal behavioral economic analysis of non-medical prescription opioid use among college students. The Psychological Record, 241–251. https://doi.org/10.1007/s40732–017-0235-2Google Scholar
Meshesha, L. Z., Soltis, K. E., Wise, E. A., Rohsenow, D. J., Witkiewitz, K., & Murphy, J. G. (2020). Pilot trial investigating a brief behavioral economic intervention as an adjunctive treatment for alcohol use disorder. Journal of Substance Abuse Treatment, 113, 108002. https://doi.org/10.1016/j.jsat.2020.108002Google Scholar
Meshesha, L. Z., Utzelmann, B., Dennhardt, A. A., & Murphy, J. G. (2018). A behavioral economic analysis of marijuana and other drug use among heavy drinking young adults. Translational Issues in Psychological Science, 4(1), 65–75. https://search.proquest.com/docview/2019667186?accountid=14568%0Ahttp://rj9jj8rc3u.search.serialssolutions.com?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=info:sid/ProQ%3Apsycinfo&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.jtGoogle Scholar
Miller, W. R., & Rollnick, S. (2012). Motivational interviewing: Helping people change (3rd ed). Guilford.Google Scholar
Morris, V., Amlung, M. T., Kaplan, B. A., Reed, D. D., Petker, T., & MacKillop, J. (2017). Using crowdsourcing to examine behavioral economic measures of alcohol value and proportionate alcohol reinforcement. Experimental and Clinical Psychopharmacology, 25(4), 314–321. https://doi.org/10.1037/pha0000130Google Scholar
Moskal, D., Maisto, S. A., De Vita, M., & Ditre, J. W. (2018). Effects of experimental pain induction on alcohol urge, intention to consume alcohol, and alcohol demand. Experimental and Clinical Psychopharmacology, 26(1), 65–76. https://doi.org/10.1037/pha0000170Google Scholar
Murphy, J. G., Barnett, N. P., Goldstein, A. L., & Colby, S. M. (2007). Gender moderates the relationship between substance-free activity enjoyment and alcohol use. Psychology of Addictive Behaviors, 21(2), 261–265. https://doi.org/10.1037/0893-164X.21.2.261Google Scholar
Murphy, J. G., Correia, C. J., Colby, S. M., & Vuchinich, R. E. (2005). Using behavioral theories of choice to predict drinking outcomes following a brief intervention. Experimental and Clinical Psychopharmacology, 13(2), 93–101. https://doi.org/10.1037/1064-1297.13.2.93Google Scholar
Murphy, J. G., Dennhardt, A. A., Martens, M. P., Borsari, B., Witkiewitz, K., & Meshesha, L. Z. (2019). A randomized clinical trial evaluating the efficacy of a brief alcohol intervention supplemented with a substance-free activity session or relaxation training. Journal of Consulting and Clinical Psychology, 87(7), 657–669. https://doi.org/10.1037/ccp0000412Google Scholar
Murphy, J. G., Dennhardt, A. A., Martens, M. P., Yurasek, A. M., Skidmore, J. R., MacKillop, J., & McDevitt-Murphy, M. E. (2015). Behavioral economic predictors of brief alcohol intervention outcomes. Journal of Consulting and Clinical Psychology, 83(6), 1033–1043. https://doi.org/10.1038/nbt.3121.ChIP-nexusGoogle Scholar
Murphy, J. G., Dennhardt, A. A., Skidmore, J. R., Borsari, B. E., Barnett, N. P., Colby, S. M., & Martens, M. P. (2012b). A randomized controlled trial of a behavioral economic supplement to brief motivational interventions for college drinking. Journal of Consulting and Clinical Psychology, 80(5), 876–886. https://doi.org/10.1037/a0028763Google Scholar
Murphy, J. G., & MacKillop, J. (2006). Relative reinforcing efficacy of alcohol among college student drinkers. Experimental and Clinical Psychopharmacology, 14(2), 219–227. https://doi.org/10.1037/1064-1297.14.2.219Google Scholar
Murphy, J. G., MacKillop, J., Skidmore, J. R., & Pederson, A. A. (2009). Reliability and validity of a demand curve measure of alcohol reinforcement. Experimental and Clinical Psychopharmacology, 17(6), 396–404. https://doi.org/10.1037/a0017684Google Scholar
Murphy, J. G., Skidmore, J. R., Dennhardt, A. A., Martens, M. P., Borsari, B., Barnett, N. P., & Colby, S. M. (2012a). A behavioral economic supplement to brief motivational interventions for college drinking. Addiction Research & Theory, 20(6), 456–465. https://doi.org/10.3109/16066359.2012.665965.AGoogle Scholar
Owens, M. M., Ray, L. A., & MacKillop, J. (2015). Behavioral economic analysis of stress effects on acute motivation for alcohol. Journal of the Experimental Analysis of Behavior, 103(1), 77–86. https://doi.org/10.1002/jeab.114Google Scholar
Palamar, J. J., Mukherjee, P. P., & Halkitis, P. N. (2008). A longitudinal investigation of powder cocaine use among club-drug using gay and bisexual men. Journal of Studies on Alcohol and Drugs, 69(6), 806–813. https://doi.org/10.15288/jsad.2008.69.806Google Scholar
Reed, D. D., Niileksela, C. R., & Kaplan, B. A. (2013). Behavioral economics: A tutorial for behavior analysts in practice. Behavior Analysis in Practice, 6(1), 34–54. https://doi.org/10.1007/BF03391790Google Scholar
Rogers, R. E., Higgins, S. T., Silverman, K., Thomas, C. S., Badger, G. J., Bigelow, G., & Stitzer, M. (2008). Abstinence-contingent reinforcement and engagement in non-drug-related activities among illicit drug abusers. Psychology of Addictive Behaviors, 22(4), 544–550. https://doi.org/10.1037/0893-164X.22.4.544Google Scholar
Samo, J. A., Tucker, J. A., & Vuchinich, R. E. (1989). Agreement between self-monitoring, recall, and collateral observation measures of alcohol consumption in older adults. Behavioral Assessment, 11(4), 391–409.Google Scholar
Schneider, W. (1973). Reinforcer effectiveness as a function of reinforcer rate and magnitude: A comparison of concurrent performances. Journal of the Experimental Analysis of Behavior, 20(3), 461–471. https://doi.org/10.1901/jeab.1973.20-461Google Scholar
Schnoll, R. A., Hitsman, B., Blazekovic, S., Veluz-Wilkins, A., Wileyto, E. P., Leone, F. T., & Audrain-McGovern, J. E. (2016). Longitudinal changes in smoking abstinence symptoms and alternative reinforcers predict long-term smoking cessation outcomes. Drug and Alcohol Dependence, 165, 245–252. https://doi.org/10.1016/j.drugalcdep.2016.06.017Google Scholar
Skidmore, J. R., Murphy, J. G., & Martens, M. P. (2014). Behavioral economic measures of alcohol reward value as problem severity indicators in college students. Experimental and Clinical Psychopharmacology, 22(3), 198–210. https://doi.org/10.1016/j.pestbp.2011.02.012.InvestigationsGoogle Scholar
Sklar, S. M., Annis, H. M. & Turner, N. E. (1997). Development and validation of the drug-taking questionnaire: A measure of coping self-efficacy. Addictive Behaviors, 22(5), 655–670. https://doi.org/10.1016/S0306–4603(97)00006-3Google Scholar
Sobell, L. C., & Sobell, M. B. (1992). Timeline Follow-Back. In Litten, R. Z. & Allen, J. P. (Eds.), Measuring alcohol consumption. Springer. https://doi.org/10.1007/978-1-4612-0357-5_3Google Scholar
Spelman, P. J., & Simons, J. S. (2018). Effects of sexual arousal and alcohol cues on acute motivation for alcohol. Archives of Sexual Behavior, 0123456789. https://doi.org/10.1007/s10508–018-1195-6Google Scholar
Stein, J. S., Tegge, A. N., Turner, J. K., & Bickel, W. K. (2017). Episodic future thinking reduces delay discounting and cigarette demand: An investigation of the good-subject effect. Journal of Behavioral Medicine, 42 (2), 269–276. https://doi.org/10.1007/s10865–017-9908-1Google Scholar
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.Google Scholar
Tucker, J. A., Chandler, S. D., & Cheong, J. (2017). Role of choice biases and choice architecture in behavioral economic strategies to reduce addictive behaviors. In Heather, N. & Segal, G. (Eds.), Addiction and choice: Rethinking the relationship (pp. 346–364). Oxford University Press.Google Scholar
Tucker, J. A., Cheong, J., Chandler, S. D., Lambert, B. H., Kwok, H., & Pietrzak, B. (2016). Behavioral economic indicators of drinking problem severity and initial outcomes among problem drinkers attempting natural recovery: A cross‐sectional naturalistic study. Addiction, 111: 1956–1965. https://doi.org/10.1111/add.13492Google Scholar
Tucker, J. A., Foushee, H. R., Black, B. C., & Roth, D. L. (2007). Agreement between prospective interactive voice response self-monitoring and structured retrospective reports of drinking and contextual variables during natural resolution attempts. Journal of Studies on Alcohol and Drugs, 68(4), 538–542. https://doi.org/10.15288/jsad.2007.68.538Google Scholar
Tucker, J. A., Roth, D. L., Vignolo, M. J., & Westfall, A. O. (2009). A behavioral economic reward index predicts drinking resolutions: Moderation re-visited and compared with other outcomes. Journal of Consulting and Clinical Psychology, 31(9), 1713–1723. https://doi.org/10.1109/TMI.2012.2196707.SeparateGoogle Scholar
Tucker, J. A., Vuchinich, R. E., Black, B. C., & Rippens, P. D. (2006). Significance of a behavioral economic index of reward value in predicting drinking problem resolution. Journal of Consulting and Clinical Psychology, 74(2), 317–326. https://doi.org/10.1037/0022-006X.74.2.317Google Scholar
Tucker, J. A., Vuchinich, R. E., Harris, C. V., Gavornik, M. G., & Rudd, E. J. (1991). Agreement between subject and collateral verbal reports of alcohol consumption in older adults. Journal of Studies on Alcohol, 52(2), 148–155. https://doi.org/10.15288/jsa.1991.52.148Google Scholar
Tucker, J. A., Vuchinich, R. E., & Rippens, P. D. (2002). Predicting natural resolution of alcohol-related problems: A prospective behavioral economic analysis. Experimental and Clinical Psychopharmacology, 10, 248–257. https://doi.org/10.1037/1064-1297.10.3.248Google Scholar
Turner, N. E., Annis, H. M., & Sklar, S. M. (1997). Measurement of antecedents to drug and alcohol use: Psychometric properties of the Inventory of Drug-taking Situations (IDTS). Behavior Research and Therapy, 35 , 465–483. https://doi.org/10.1016/S0005–7967(96)00119-2Google Scholar
Victorio-Estrada, A. & Mucha, R. F. (1997). The inventory of drinking situations (IDS) in current drinkers with different degrees of alcohol problems. Addictive Behaviors, 22, 557–565. https://doi.org/10.1016/S0306–4603(96)00061-5Google Scholar
Vaughan, E. L., Corbin, W. R., & Fromme, K. (2009). Academic and social motives and drinking behavior. Psychology of Addictive Behaviors, 23(4), 564–576. https://doi.org/10.1037/a0017331Google Scholar
Vuchinich, R. E., & Heather, N. (Eds.) (2003). Choice, behavioural economics, and addiction. Elsevier.Google Scholar
Vuchinich, R. E., & Tucker, J. A. (1988). Contributions from behavioral theories of choice to an analysis of alcohol abuse. Journal of Abnormal Psychology, 97(2), 181–195. https://doi.org/10.1037/0021-843X.97.2.181Google Scholar
Vuchinich, R. E., & Tucker, J. A. (1996). Alcoholic relapse, life events, and behavioral theories of choice: A prospective analysis. Experimental and Clinical Psychopharmacology, 4(1), 19–28. https://doi.org/10.1037/1064-1297.4.1.19Google Scholar
Waldrop, A. E., Back, S. E., Verduin, M. L., & Brady, K. T. (2007). Triggers for cocaine and alcohol use in the presence and absence of posttraumatic stress disorder. Addictive Behaviors, 32 ,634-9. https://doi.org/10.1016/j.addbeh.2006.06.001Google Scholar
Wechsler, H., Davenport, A. E., Dowdall, G. W., Grossman, S. J., & Zanakos, S. I. (1997). Binge drinking, tobacco, and illicit drug use and involvement in college athletics: A survey of students at 140 American colleges. Journal of the American College Health Association, 45(5), 195–200. https://doi.org/10.1080/07448481.1997.9936884Google Scholar
Worley, M. J., Shoptaw, S. J., Bickel, W. K., & Ling, W. (2015). Using behavioral economics to predict opioid use during prescription opioid dependence treatment. Drug and Alcohol Dependence, 148, 62–68. https://doi.org/10.1016/j.drugalcdep.2014.12.018.UsingGoogle Scholar
Young, J. S. (1981). Discrete-trial choice in pigeons: Effects of reinforcer magnitude. Journal of the Experimental Analysis of Behavior, 35(1), 23–29. https://doi.org/10.1016/j.bbr.2014.03.044Google 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.

  • Meso Level
  • Edited by Jalie A. Tucker, University of Florida, Katie Witkiewitz, University of New Mexico
  • Book: Dynamic Pathways to Recovery from Alcohol Use Disorder
  • Online publication: 23 December 2021
  • Chapter DOI: https://doi.org/10.1017/9781108976213.013
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.

  • Meso Level
  • Edited by Jalie A. Tucker, University of Florida, Katie Witkiewitz, University of New Mexico
  • Book: Dynamic Pathways to Recovery from Alcohol Use Disorder
  • Online publication: 23 December 2021
  • Chapter DOI: https://doi.org/10.1017/9781108976213.013
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.

  • Meso Level
  • Edited by Jalie A. Tucker, University of Florida, Katie Witkiewitz, University of New Mexico
  • Book: Dynamic Pathways to Recovery from Alcohol Use Disorder
  • Online publication: 23 December 2021
  • Chapter DOI: https://doi.org/10.1017/9781108976213.013
Available formats
×