Efficacy of a targeted cognitive-behavioral treatment program for cannabis use disorders (CANDIS)

Research output: Contribution to journalResearch articleContributed

Contributors

Abstract

AIMS: To examine the efficacy, 3- and 6-month follow-up effects of a psychological treatment for older adolescents and adults with DSM-IV cannabis use disorders. The program was tailored to the needs of this patient population.

EXPERIMENTAL PROCEDURES: A randomized controlled clinical trial of 122 patients aged 16 to 44 years with DSM-IV cannabis dependence as the main substance use diagnosis was conducted. Patients were randomly assigned to either Active Treatment (AT, n = 90) or a Delayed Treatment Control group (DTC, n = 32). Treatment consisted of 10 sessions of therapy, detailed in a strictly enforced manual. Assessments were conducted at baseline, during each therapy session, at post treatment and at follow-up assessments at 3 and 6 months.

RESULTS: The treatment retention rate was 88%. Abstinence was achieved in 49% of AT patients and in 13% of those in DTC (p < 0.001; intend-to-treat (ITT) analysis). Further, AT patients improved significantly (p < = 0.001) in the frequency of cannabis use per week, addiction severity, number of disability days, and overall level of psychopathology. Program effects were maintained over a 3-month- (abstinence rate: 51%) and 6-month follow-up (45%) period.

CONCLUSION: The treatment program is effective in obtaining abstinence as well as reducing cannabis use and improves the associated social and mental health burden.

Details

Original languageEnglish
Pages (from-to)267-80
Number of pages14
JournalEuropean Neuropsychopharmacology
Volume22
Issue number4
Publication statusPublished - Apr 2012
Peer-reviewedNo

External IDs

Scopus 84860420353
ORCID /0000-0001-7646-8265/work/142232686

Keywords

Sustainable Development Goals

Keywords

  • Adolescent, Adult, Cognitive Behavioral Therapy/methods, Female, Germany, Humans, Male, Marijuana Abuse/therapy, Patient Compliance/statistics & numerical data, Time Factors