AIM: To examine prevalence and correlates of cannabis dependence among long-term cannabis users. DESIGN: A cross-sectional survey of patterns and experiences of cannabis use and dependence. SETTING AND PARTICIPANTS: A snowball sample of 243 long-term cannabis smokers, who were currently smoking 3-4 times a week, were recruited from the New South Wales North Coast, an area long associated with cannabis cultivation and use. MEASUREMENTS: A structured interview was administered, incorporating the following dependence measures: an approximation to a life-time DSM-III-R diagnosis, an approximation to a 12-month ICD-10 diagnosis, and the Severity of Dependence Scale (SDS). FINDINGS: Prevalence of a life-time DSM-III-R diagnosis of cannabis dependence was 57%, while 57% received an ICD-10 dependence diagnosis for the last year. Substantially fewer (15%) of the sample were diagnosed as dependent according to the Severity of Dependence Scale (SDS). Only 26% believed they had a problem with cannabis at least sometimes. There was general concordance between DSM-III-R and ICD-10 measures, but not between these and the SDS. ICD-10 and DSM-III-R dependence diagnoses were modestly correlated with age, life-time illicit drug use and quantity of cannabis use. Principal components analyses of the dependence measures provided little evidence for a unidimensional dependence syndrome for ICD-10 and DSM-III-R criteria. There was strong support for unidimensionality of the SDS. CONCLUSIONS: Symptoms of cannabis dependence were common among these long-term users but only one-quarter perceived that they had a cannabis problem. There was no strong evidence for a unidimensional cannabis dependence syndrome.
AIM: To examine prevalence and correlates of cannabis dependence among long-term cannabis users. DESIGN: A cross-sectional survey of patterns and experiences of cannabis use and dependence. SETTING AND PARTICIPANTS: A snowball sample of 243 long-term cannabis smokers, who were currently smoking 3-4 times a week, were recruited from the New South Wales North Coast, an area long associated with cannabis cultivation and use. MEASUREMENTS: A structured interview was administered, incorporating the following dependence measures: an approximation to a life-time DSM-III-R diagnosis, an approximation to a 12-month ICD-10 diagnosis, and the Severity of Dependence Scale (SDS). FINDINGS: Prevalence of a life-time DSM-III-R diagnosis of cannabis dependence was 57%, while 57% received an ICD-10 dependence diagnosis for the last year. Substantially fewer (15%) of the sample were diagnosed as dependent according to the Severity of Dependence Scale (SDS). Only 26% believed they had a problem with cannabis at least sometimes. There was general concordance between DSM-III-R and ICD-10 measures, but not between these and the SDS. ICD-10 and DSM-III-R dependence diagnoses were modestly correlated with age, life-time illicit drug use and quantity of cannabis use. Principal components analyses of the dependence measures provided little evidence for a unidimensional dependence syndrome for ICD-10 and DSM-III-R criteria. There was strong support for unidimensionality of the SDS. CONCLUSIONS: Symptoms of cannabis dependence were common among these long-term users but only one-quarter perceived that they had a cannabis problem. There was no strong evidence for a unidimensional cannabis dependence syndrome.
Authors: David A Gorelick; Kenneth H Levin; Marc L Copersino; Stephen J Heishman; Fang Liu; Douglas L Boggs; Deanna L Kelly Journal: Drug Alcohol Depend Date: 2011-12-07 Impact factor: 4.492
Authors: Kenneth H Levin; Marc L Copersino; Stephen J Heishman; Fang Liu; Deanna L Kelly; Douglas L Boggs; David A Gorelick Journal: Drug Alcohol Depend Date: 2010-05-26 Impact factor: 4.492