Literature DB >> 15122958

Limitations in the assessment of DSM-IV cannabis tolerance as an indicator of dependence in adolescents.

Tammy Chung1, Christopher S Martin, Ken C Winters, Jack R Cornelius, James W Langenbucher.   

Abstract

The usefulness of the Diagnostic and Statistical Manual's (4th ed.; DSM-IV; American Psychiatric Association, 1994) tolerance criterion as an indicator of dependence has been debated. The authors of this study evaluated the performance of DSM's cannabis tolerance criterion, operationally defined as a percentage increase in quantity needed to get high, in distinguishing adolescents with and without cannabis dependence. Two samples of adolescent cannabis users (ages 12-19) provided data (ns = 417 and 380). Tolerance, defined as a percentage increase (median increase = 300% and 175%, respectively, in the samples), had only moderate overall sensitivity and specificity in distinguishing those with and without cannabis dependence. Results suggest limitations of the DSM-IV and change-based operational definition of tolerance in adolescents. ((c) 2004 APA, all rights reserved)

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Year:  2004        PMID: 15122958     DOI: 10.1037/1064-1297.12.2.136

Source DB:  PubMed          Journal:  Exp Clin Psychopharmacol        ISSN: 1064-1297            Impact factor:   3.157


  12 in total

1.  Item response theory analysis of DSM-IV cannabis abuse and dependence criteria in adolescents.

Authors:  Christie A Hartman; Heather Gelhorn; Thomas J Crowley; Joseph T Sakai; Michael Stallings; Susan E Young; Soo Hyun Rhee; Robin Corley; John K Hewitt; Christian J Hopfer
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2008-02       Impact factor: 8.829

2.  Neural mechanisms of risky decision-making and reward response in adolescent onset cannabis use disorder.

Authors:  Michael D De Bellis; Lihong Wang; Sara R Bergman; Richard H Yaxley; Stephen R Hooper; Scott A Huettel
Journal:  Drug Alcohol Depend       Date:  2013-06-14       Impact factor: 4.492

3.  Properties of the Cannabis Abuse Screening Test (CAST) in the general population.

Authors:  Stéphane Legleye; Romain Guignard; Jean-Baptiste Richard; Kraus Ludwig; Alexander Pabst; François Beck
Journal:  Int J Methods Psychiatr Res       Date:  2015-06       Impact factor: 4.035

4.  Greater Prevalence of Proposed ICD-11 Alcohol and Cannabis Dependence Compared to ICD-10, DSM-IV, and DSM-5 in Treated Adolescents.

Authors:  Tammy Chung; Jack Cornelius; Duncan Clark; Christopher Martin
Journal:  Alcohol Clin Exp Res       Date:  2017-07-24       Impact factor: 3.455

5.  Intellectual, neurocognitive, and academic achievement in abstinent adolescents with cannabis use disorder.

Authors:  Stephen R Hooper; Donald Woolley; Michael D De Bellis
Journal:  Psychopharmacology (Berl)       Date:  2014-03-12       Impact factor: 4.530

Review 6.  The diagnostic dilemma of pathological appearance and performance enhancing drug use.

Authors:  Tom Hildebrandt; Justine K Lai; James W Langenbucher; Melanie Schneider; Rachel Yehuda; Donald W Pfaff
Journal:  Drug Alcohol Depend       Date:  2010-11-05       Impact factor: 4.492

7.  Social norms and self-efficacy among heavy using adolescent marijuana smokers.

Authors:  Denise D Walker; Clayton Neighbors; Lindsey M Rodriguez; Robert S Stephens; Roger A Roffman
Journal:  Psychol Addict Behav       Date:  2011-08-15

Review 8.  Commonalities and Differences Across Substance Use Disorders: Phenomenological and Epidemiological Aspects.

Authors:  Dvora Shmulewitz; Emily R Greene; Deborah Hasin
Journal:  Alcohol Clin Exp Res       Date:  2015-09-01       Impact factor: 3.455

9.  Truth or consequences in the diagnosis of substance use disorders.

Authors:  Christopher S Martin; James W Langenbucher; Tammy Chung; Kenneth J Sher
Journal:  Addiction       Date:  2014-06-10       Impact factor: 6.526

10.  How should we revise diagnostic criteria for substance use disorders in the DSM-V?

Authors:  Christopher S Martin; Tammy Chung; James W Langenbucher
Journal:  J Abnorm Psychol       Date:  2008-08
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