Clark, Shaunna L. Gillespie, Nathan A. Adkins, Daniel E. Kendler, Kenneth S. and Neale, Michael C. 2016. Psychometric modeling of abuse and dependence symptoms across six illicit substances indicates novel dimensions of misuse. Addictive Behaviors, Vol. 53, p. 132.
Rhemtulla, Mijke Fried, Eiko I. Aggen, Steven H. Tuerlinckx, Francis Kendler, Kenneth S. and Borsboom, Denny 2016. Network analysis of substance abuse and dependence symptoms. Drug and Alcohol Dependence, Vol. 161, p. 230.
Hasin, Deborah S. and Grant, Bridget F. 2015. The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings. Social Psychiatry and Psychiatric Epidemiology, Vol. 50, Issue. 11, p. 1609.
Wetherill, Leah Agrawal, Arpana Kapoor, Manav Bertelsen, Sarah Bierut, Laura J. Brooks, Andrew Dick, Danielle Hesselbrock, Michie Hesselbrock, Victor Koller, Daniel L. Le, Nhung Nurnberger, John I. Salvatore, Jessica E. Schuckit, Marc Tischfield, Jay A. Wang, Jen-Chyong Xuei, Xiaoling Edenberg, Howard J. Porjesz, Bernice Bucholz, Kathleen Goate, Alison M. and Foroud, Tatiana 2015. Association of substance dependence phenotypes in the COGA sample. Addiction Biology, Vol. 20, Issue. 3, p. 617.
Pilkonis, Paul A. Yu, Lan Dodds, Nathan E. Johnston, Kelly L. Lawrence, Suzanne M. Hilton, Thomas F. Daley, Dennis C. Patkar, Ashwin A. and McCarty, Dennis 2015. Item banks for substance use from the Patient-Reported Outcomes Measurement Information System (PROMIS ® ): Severity of use and positive appeal of use. Drug and Alcohol Dependence, Vol. 156, p. 184.
Shmulewitz, Dvora Greene, Emily R. and Hasin, Deborah 2015. Commonalities and Differences Across Substance Use Disorders: Phenomenological and Epidemiological Aspects. Alcoholism: Clinical and Experimental Research, Vol. 39, Issue. 10, p. 1878.
Kubarych, Thomas S. Kendler, Kenneth S. Aggen, Steven H. Estabrook, Ryne Edwards, Alexis C. Clark, Shaunna L. Martin, Nicholas G. Hickie, Ian B. Neale, Michael C. and Gillespie, Nathan A. 2014. Comparing Factor, Class, and Mixture Models of Cannabis Initiation and DSM Cannabis Use Disorder Criteria, Including Craving, in the Brisbane Longitudinal Twin Study. Twin Research and Human Genetics, Vol. 17, Issue. 02, p. 89.
Castaldelli-Maia, João Mauricio Silveira, Camila M. Siu, Erica R. Wang, Yuan-Pang Milhorança, Igor A. Alexandrino-Silva, Clóvis Borges, Guilherme Viana, Maria C. Andrade, Arthur G. Andrade, Laura H. and Martins, Silvia S. 2014. DSM-5 latent classes of alcohol users in a population-based sample: Results from the São Paulo Megacity Mental Health Survey, Brazil. Drug and Alcohol Dependence, Vol. 136, p. 92.
Glantz, Meyer D. Medina-Mora, Maria Elena Petukhova, Maria Andrade, Laura Helena Anthony, James C. de Girolamo, Giovanni de Graaf, Ron Degenhardt, Louisa Demyttenaere, Koen Florescu, Silvia Gureje, Oye Haro, Josep Maria Horiguchi, Itsuko Karam, Elie G. Kostyuchenko, Stanislav Lee, Sing Lépine, Jean-Pierre Matschinger, Herbert Neumark, Yehuda Posada-Villa, Jose Sagar, Rajesh Stein, Dan J. Tomov, Toma Wells, J. Elisabeth Chatterji, Somnath and Kessler, Ronald C. 2014. Alcohol abuse in developed and developing countries in the World Mental Health Surveys: Socially defined consequences or psychiatric disorder?. The American Journal on Addictions, Vol. 23, Issue. 2, p. 145.
Kopak, Albert M. Metze, Amanda V. and Hoffmann, Norman G. 2014. Alcohol Use Disorder Diagnoses in the Criminal Justice System. International Journal of Offender Therapy and Comparative Criminology, Vol. 58, Issue. 6, p. 638.
Agrawal, Arpana Lynskey, Michael T. Bucholz, Kathleen K. Kapoor, Manav Almasy, Laura Dick, Danielle M. Edenberg, Howard J. Foroud, Tatiana Goate, Alison Hancock, Dana B. Hartz, Sarah Johnson, Eric O. Hesselbrock, Victor Kramer, John R. Kuperman, Samuel Nurnberger Jr., John I. Schuckit, Marc and Bierut, Laura J. 2014. DSM-5 cannabis use disorder: A phenotypic and genomic perspective. Drug and Alcohol Dependence, Vol. 134, p. 362.
Verweij, K. J. H. Agrawal, A. Nat, N. O. Creemers, H. E. Huizink, A. C. Martin, N. G. and Lynskey, M. T. 2013. A genetic perspective on the proposed inclusion of cannabis withdrawal in DSM-5. Psychological Medicine, Vol. 43, Issue. 08, p. 1713.
Shmulewitz, D. Wall, M. M. Aharonovich, E. Spivak, B. Weizman, A. Frisch, A. Grant, B. F. and Hasin, D. 2013. Validity of proposed DSM-5 diagnostic criteria for nicotine use disorder: results from 734 Israeli lifetime smokers. Psychological Medicine, Vol. 43, Issue. 10, p. 2179.
Ridenour, Ty A. 2013. Transitioning from DSM-IV Abuse to Dependence: The Essence of Harmful Compulsive Substance Use is Ontogenetic and Dynamic. The American Journal of Drug and Alcohol Abuse, Vol. 39, Issue. 3, p. 139.
Mewton, Louise Slade, Tim Memedovic, Sonja and Teesson, Maree 2013. Alcohol Use in Hazardous Situations: Implications for DSM-IV and DSM-5 Alcohol Use Disorders. Alcoholism: Clinical and Experimental Research, Vol. 37, p. E228.
Derringer, Jaime Krueger, Robert F. Dick, Danielle M. Agrawal, Arpana Bucholz, Kathleen K. Foroud, Tatiana Grucza, Richard A. Hesselbrock, Michie N. Hesselbrock, Victor Kramer, John Nurnberger, John I. Schuckit, Marc Bierut, Laura J. Iacono, William G. and McGue, Matt 2013. Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies. Addiction, Vol. 108, Issue. 10, p. 1767.
Flórez-Salamanca, Ludwing Secades-Villa, Roberto Hasin, Deborah S. Cottler, Linda Wang, Shuai Grant, Bridget F. and Blanco, Carlos 2013. Probability and Predictors of Transition from Abuse to Dependence on Alcohol, Cannabis, and Cocaine: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. The American Journal of Drug and Alcohol Abuse, Vol. 39, Issue. 3, p. 168.
Saha, Tulshi D. Compton, Wilson M. Chou, S. Patricia Smith, Sharon Ruan, W. June Huang, Boji Pickering, Roger P. and Grant, Bridget F. 2012. Analyses related to the development of DSM-5 criteria for substance use related disorders. Drug and Alcohol Dependence, Vol. 122, Issue. 1-2, p. 38.
Hasin, Deborah S. Fenton, Miriam C. Beseler, Cheryl Park, Jung Yeon and Wall, Melanie M. 2012. Analyses related to the development of DSM-5 criteria for substance use related disorders: 2. Proposed DSM-5 criteria for alcohol, cannabis, cocaine and heroin disorders in 663 substance abuse patients. Drug and Alcohol Dependence, Vol. 122, Issue. 1-2, p. 28.
DSM-IV criteria for illicit drug abuse and dependence are largely based on criteria developed for alcohol use disorders and there is a lack of research evidence on the psychometric properties of these symptoms when applied to illicit drugs.
This study utilizes data on abuse/dependence criteria for cannabis, cocaine, stimulants, sedatives, tranquilizers, opiates, hallucinogens and inhalants from the National Epidemiological Survey on Alcohol and Related Conditions (NESARC, n=43 093). Analyses included factor analysis to explore the dimensionality of illicit drug abuse and dependence criteria, calculation of item difficulty and discrimination within an item response framework and a descriptive analysis of ‘diagnostic orphans’: individuals meeting criteria for 1–2 dependence symptoms but not abuse. Rates of psychiatric disorders were compared across groups.
Results favor a uni-dimensional construct for abuse/dependence on each of the eight drug classes. Factor loadings, item difficulty and discrimination were remarkably consistent across drug categories. For each drug category, between 29% and 51% of all individuals meeting criteria for at least one symptom did not receive a formal diagnosis of either abuse or dependence and were therefore classified as ‘orphans’. Mean rates of disorder in these individuals suggested that illicit drug use disorders may be more adequately described along a spectrum of severity.
While there were remarkable similarities across categories of illicit drugs, consideration of item difficulty suggested that some alterations to DSM regarding the relevant severity of specific abuse and dependence criteria may be warranted.
Email your librarian or administrator to recommend adding this journal to your organisation's collection.
Full text views reflects the number of PDF downloads, PDFs sent to Google Drive, Dropbox and Kindle and HTML full text views.
* Views captured on Cambridge Core between September 2016 - 19th November 2017. This data will be updated every 24 hours.