Literature DB >> 11376919

Characteristics of DSM-IV and ICD-10 cannabis dependence among Australian adults: results from the National Survey of Mental Health and Wellbeing.

W Swift1, W Hall, M Teesson.   

Abstract

A representative sample (n = 10641) of Australian adults completed a structured diagnostic interview assessing the prevalence of mental and substance use disorders in the last year. The prevalence of DSM-IV (1.5%) and ICD-10 (1.7%) cannabis dependence was similar. DSM-IV and ICD-10 dependence criteria comprised unidimensional syndromes. The most common symptoms among dependent and non-dependent users were difficulties with controlling use and withdrawal, although there were marked differences in symptom prevalence. Dependent users reported a median of four symptoms. There was good to excellent diagnostic concordance (kappas = 0.7-0.9) between systems for dependence but not for abuse/harmful use (Y = 0.4). These findings provide some support for the validity of cannabis dependence.

Entities:  

Mesh:

Year:  2001        PMID: 11376919     DOI: 10.1016/s0376-8716(00)00197-6

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  19 in total

1.  Relationship of substance abuse to dependence in the U.S. general population.

Authors:  Tulshi D Saha; Thomas Harford; Risë B Goldstein; Bradley T Kerridge; Deborah Hasin
Journal:  J Stud Alcohol Drugs       Date:  2012-05       Impact factor: 2.582

Review 2.  State of the art treatments for cannabis dependence.

Authors:  Itai Danovitch; David A Gorelick
Journal:  Psychiatr Clin North Am       Date:  2012-04-10

3.  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

4.  An item response theory modeling of alcohol and marijuana dependences: a National Drug Abuse Treatment Clinical Trials Network study.

Authors:  Li-Tzy Wu; Jeng-Jong Pan; Dan G Blazer; Betty Tai; Maxine L Stitzer; Robert K Brooner; George E Woody; Ashwin A Patkar; Jack D Blaine
Journal:  J Stud Alcohol Drugs       Date:  2009-05       Impact factor: 2.582

5.  Psychometric modeling of abuse and dependence symptoms across six illicit substances indicates novel dimensions of misuse.

Authors:  Shaunna L Clark; Nathan A Gillespie; Daniel E Adkins; Kenneth S Kendler; Michael C Neale
Journal:  Addict Behav       Date:  2015-10-17       Impact factor: 3.913

6.  Cannabis dimensionality: dependence, abuse and consumption.

Authors:  Cheryl L Beseler; Deborah S Hasin
Journal:  Addict Behav       Date:  2010-06-09       Impact factor: 3.913

Review 7.  Marijuana dependence: not just smoke and mirrors.

Authors:  Divya Ramesh; Joel E Schlosburg; Jason M Wiebelhaus; Aron H Lichtman
Journal:  ILAR J       Date:  2011

8.  No detectable association between frequency of marijuana use and health or healthcare utilization among primary care patients who screen positive for drug use.

Authors:  Daniel Fuster; Debbie M Cheng; Donald Allensworth-Davies; Tibor P Palfai; Jeffrey H Samet; Richard Saitz
Journal:  J Gen Intern Med       Date:  2013-09-19       Impact factor: 5.128

Review 9.  Role of endocannabinoid system in mental diseases.

Authors:  Jorge Manzanares; Leyre Urigüen; Gabriel Rubio; Tomás Palomo
Journal:  Neurotox Res       Date:  2004       Impact factor: 3.911

10.  DSM-IV criteria-based clinical subtypes of cannabis use disorders: results from the National Epidemiological Survey on Alcohol and Related Conditions (NESARC).

Authors:  Carlos Blanco; Elizabeth Ogburn; José Pérez de Los Cobos; Juan Lujan; Edward V Nunes; Bridget Grant; Shang-Min Liu; Deborah S Hasin
Journal:  Drug Alcohol Depend       Date:  2008-04-16       Impact factor: 4.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.