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A genetic perspective on the proposed inclusion of cannabis withdrawal in DSM-5

Published online by Cambridge University Press:  30 November 2012

K. J. H. Verweij
Affiliation:
Department of Developmental Psychology, VU University, Amsterdam, The Netherlands
A. Agrawal
Affiliation:
Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
N. O. Nat
Affiliation:
Department of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
H. E. Creemers
Affiliation:
Department of Developmental Psychology, VU University, Amsterdam, The Netherlands Department of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
A. C. Huizink*
Affiliation:
Department of Developmental Psychology, VU University, Amsterdam, The Netherlands Department of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands Behavioral Science Institute, Radboud University Nijmegen, The Netherlands
N. G. Martin
Affiliation:
Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
M. T. Lynskey
Affiliation:
Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
*
*Address for correspondence: Dr A. C. Huizink, VU University, Faculty of Psychology and Education, Department of Developmental Psychology, Transitorium, Van de Boechorststraat 1, 1081 BT Amsterdam, The Netherlands. (Email: [email protected])

Abstract

Background

Various studies support the inclusion of cannabis withdrawal in the diagnosis of cannabis use disorder (CUD) in the upcoming DSM-5. The aims of the current study were to (1) estimate the prevalence of DSM-5 cannabis withdrawal (criterion B), (2) estimate the role of genetic and environmental influences on individual differences in cannabis withdrawal and (3) determine the extent to which genetic and environmental influences on cannabis withdrawal overlap with those on DSM-IV-defined abuse/dependence.

Method

The sample included 2276 lifetime cannabis-using adult Australian twins. Cannabis withdrawal was defined in accordance with criterion B of the proposed DSM-5 revisions. Cannabis abuse/dependence was defined as endorsing one or more DSM-IV criteria of abuse or three or more dependence criteria. The classical twin model was used to estimate the genetic and environmental influences on variation in cannabis withdrawal, along with its covariation with abuse/dependence.

Results

Of all the cannabis users, 11.9% met criteria for cannabis withdrawal. Around 50% of between-individual variation in withdrawal could be attributed to additive genetic variation, and the rest of the variation was mostly due to non-shared environmental influences. Importantly, the genetic influences on cannabis withdrawal almost completely (99%) overlapped with those on abuse/dependence.

Conclusions

We have shown that cannabis withdrawal symptoms exist among cannabis users, and that cannabis withdrawal is moderately heritable. Genetic influences on cannabis withdrawal are the same as those affecting abuse/dependence. These results add to the wealth of literature that recommends the addition of cannabis withdrawal to the diagnosis of DSM-5 CUD.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2012 

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References

Agrawal, A, Lynskey, MT, Bucholz, KK, Martin, NG, Madden, PAF, Heath, AC (2007). Contrasting models of genetic co-morbidity for cannabis and other illicit drugs in adult Australian twins. Psychological Medicine 37, 4960.CrossRefGoogle ScholarPubMed
Agrawal, A, Pergadia, ML, Lynskey, MT (2008). Is there evidence for symptoms of cannabis withdrawal in the National Epidemiologic Survey of Alcohol and Related Conditions? American Journal on Addictions 17, 199208.CrossRefGoogle ScholarPubMed
APA (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th edn, text revision (DSM-IV-TR). American Psychiatric Association: Washington, DC.Google Scholar
Bucholz, KK, Cloninger, CR, Dinwiddie, SH, Hesselbrock, VM, Nurnberger, JI, Reich, T, Schmidt, I, Schuckit, MA (1994). A new, semi-structured psychiatric interview for use in genetic linkage studies: a report of the reliability of the SSAGA. Journal of Studies on Alcohol 55, 149158.CrossRefGoogle ScholarPubMed
Budney, AJ, Hughes, JR (2006). The cannabis withdrawal syndrome. Current Opinion in Psychiatry 19, 233238.CrossRefGoogle ScholarPubMed
Budney, AJ, Hughes, JR, Moore, BA, Vandrey, R (2004). Review of the validity and significance of cannabis withdrawal syndrome. American Journal of Psychiatry 161, 19671977.CrossRefGoogle ScholarPubMed
Budney, AJ, Vandrey, RG, Hughes, JR, Thostenson, JD, Bursac, Z (2008). Comparison of cannabis and tobacco withdrawal: severity and contribution to relapse. Journal of Substance Abuse Treatment 36, 362368.CrossRefGoogle Scholar
Coffey, C, Carlin, BB, Degenhardt, L, Lynskey, MT, Danci, L, Patton, GC (2002). Cannabis dependence in young adults: an Australian population study. Addiction 97, 187194.CrossRefGoogle ScholarPubMed
Compton, WM, Saha, TD, Conway, KP, Grant, BF (2009). The role of cannabis use within a dimensional approach to cannabis use disorders. Drug and Alcohol Dependence 100, 221227.CrossRefGoogle ScholarPubMed
Crowley, TJ (2006). Adolescents and substance-related disorders: research agenda to guide decisions on Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5). Addiction 101 (Suppl. 1), 115124.CrossRefGoogle Scholar
Ehlers, CL, Gizer, IR, Vieten, C, Gilder, DA, Stouffer, GM, Lau, P, Wilhelmsen, KC (2010). Cannabis dependence in the San Francisco Family Study: age of onset of use, DSM-IV symptoms, withdrawal, and heritability. Addictive Behaviors 35, 102110.CrossRefGoogle ScholarPubMed
Gillespie, NA, Kendler, KS, Neale, MC (2011). Psychometric modeling of cannabis initiation and use and the symptoms of cannabis abuse, dependence and withdrawal in a sample of male and female twins. Drug and Alcohol Dependence 118, 166172.CrossRefGoogle Scholar
Gillespie, NA, Neale, MC, Kendler, KS (2009). Pathways to cannabis abuse: a multi-stage model from cannabis availability, cannabis initiation and progression to abuse. Addiction 104, 430438.CrossRefGoogle ScholarPubMed
Hall, W (2009). The adverse effects of cannabis use: what are they, and what are their implications for policy? International Journal of Drug Policy 20, 458466.CrossRefGoogle ScholarPubMed
Hall, W, Solowij, N (1998). Adverse effects of cannabis. Lancet 352, 16111616.CrossRefGoogle ScholarPubMed
Hasin, DS, Keyes, KM, Alderson, D, Wang, S, Aharonovich, E, Grant, BF (2008). Cannabis withdrawal in the United States: results from NESARC. Journal of Clinical Psychiatry 69, 13541363.CrossRefGoogle ScholarPubMed
Heath, AC, Bucholz, KK, Madden, PA, Dinwiddie, SH, Slutske, WS, Bierut, LJ, Statham, DJ, Dunne, MP, Whitfield, JB, Martin, NG (1997). Genetic and environmental contributions to alcohol dependence risk in a national twin sample: consistency of findings in women and men. Psychological Medicine 27, 13811396.CrossRefGoogle Scholar
Kendler, KS, Aggen, SH, Tambs, K, Reichborn-Kjennerud, T (2006). Illicit psychoactive substance use, abuse and dependence in a population-based sample of Norwegian twins. Psychological Medicine 36, 955962.CrossRefGoogle Scholar
Kendler, KS, Prescott, CA (1998). Cannabis use, abuse, and dependence in a population-based sample of female twins. American Journal of Psychiatry 155, 10161022.CrossRefGoogle Scholar
Lachenbucher, JW, Labouvie, E, Martin, CS, Sanjuan, PM, Bavly, L, Kirisci, L, Chung, T (2004). An application of item response theory analysis to alcohol, cannabis, and cocaine criteria in DSM-IV. Journal of Abnormal Psychology 113, 7280.CrossRefGoogle Scholar
Loehlin, JC (1996). The Cholesky approach: a cautionary note. Behaviour Genetics 26, 6569.CrossRefGoogle Scholar
Lynskey, MT, Agrawal, A (2007). Psychometric properties of DSM assessments of illicit drug abuse and dependence: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Psychological Medicine 37, 13451355.CrossRefGoogle ScholarPubMed
Lynskey, MT, Agrawal, A, Henders, A, Nelson, EC, Madden, PAF, Martin, NG (2012). An Australian twin study of cannabis and other illicit drug use and misuse, and other psychopathology. Twin Research and Human Genetics 15, 631641.CrossRefGoogle ScholarPubMed
Lynskey, MT, Hall, W (2000). The effects of adolescent cannabis use on educational attainment: a review. Addiction 95, 16211630.CrossRefGoogle ScholarPubMed
Neale, MC, Boker, SM, Xie, G, Maes, HH (2006). Mx: Statistical Modeling, 7th edn.VCU Department of Psychiatry, Medical College of Virginia: Richmond, VA.Google Scholar
Neale, MC, Cardon, LR (1992). Methodology for Genetic Studies of Twins and Families, Kluwer: Boston.CrossRefGoogle Scholar
Neale, MC, Eaves, LJ, Kendler, KS (1994). The power of the classical twin study to resolve variation in threshold traits. Behaviour Genetics 24, 239258.CrossRefGoogle ScholarPubMed
Pergadia, ML, Heath, AC, Martin, NG, Madden, PAF (2006). Genetic analyses of DSM-IV nicotine withdrawal in adult twins. Psychological Medicine 36, 963972.CrossRefGoogle ScholarPubMed
Preuss, UW, Watzke, AB, Zimmermann, J, Wong, JWM, Schmidt, CO (2010). Cannabis withdrawal severity and short-term course among cannabis-dependent adolescent and young adult inpatients. Drug and Alcohol Dependence 106, 133141.CrossRefGoogle ScholarPubMed
Posthuma, D, Beem, AL, de Geus, EJC, van Baal, GCM, von Hjelmborg, JB, Lachine, I, Boomsma, DI (2003). Theory and practice in quantitative genetics. Twin Research 6, 361376.CrossRefGoogle ScholarPubMed
Reilly, D, Didcott, R, Swift, W, Hall, W (1998). Long term cannabis use: characteristics of users in Australian rural areas. Addiction 93, 837846.CrossRefGoogle Scholar
Rijsdijk, FV, Sham, PC (2002). Analytic approaches to twin data using structural equation models. Briefings in Bioinformatics 3, 119133.CrossRefGoogle ScholarPubMed
Tashkin, DP, Baldwin, GC, Sarafian, T, Dubinett, S, Roth, MD (2002). Respiratory and immunologic consequences of marijuana smoking. Journal of Clinical Pharmacology 42, 71s81s.CrossRefGoogle ScholarPubMed
UNODC (2008). World Drug Report 2008. United Nations Office on Drugs and Crime (www.unodc.org/unodc/en/data-and-analysis/WDR-2008.html). Accessed 1 November 2012.Google Scholar
van den Bree, MB, Johnson, EO, Neale, MC, Pickens, RW (1998). Genetic and environmental influences on drug use and abuse/dependence in male and female twins. Drug and Alcohol Dependence 52, 231234.CrossRefGoogle ScholarPubMed
Vandrey, RG, Budney, AJ, Hughes, JR, Liguori, A (2008). A within-subject comparison of withdrawal symptoms during abstinence from cannabis, tobacco, and both substances. Drug and Alcohol Dependence 92, 4854.CrossRefGoogle ScholarPubMed
Verweij, KJH, Zietsch, BP, Lynskey, MT, Medland, SE, Neale, MC, Martin, NG, Boomsma, DI, Vink, JM (2010). Genetic and environmental influences on cannabis use initiation and problematic use: a meta-analysis of twin studies. Addiction 105, 417430.CrossRefGoogle ScholarPubMed