E Hoch1, G Bühringer2, A Pixa3, K Dittmer3, J Henker3, A Seifert3, H U Wittchen3. 1. Institute of Clinical Psychology and Psychotherapy, Technische Universitaet Dresden, Chemnitzer Strasse 46, Dresden 01187, Germany; Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Heidelberg University, Square J5, Mannheim 68159, Germany. Electronic address: Eva.Hoch@zi-mannheim.de. 2. Institute of Clinical Psychology and Psychotherapy, Technische Universitaet Dresden, Chemnitzer Strasse 46, Dresden 01187, Germany; IFT Institut fuer Therapieforschung, Parzivalstrae 25, Munich 80804, Germany. 3. Institute of Clinical Psychology and Psychotherapy, Technische Universitaet Dresden, Chemnitzer Strasse 46, Dresden 01187, Germany.
Abstract
BACKGROUND: In a recent paper, we reported the efficacy of a modular cognitive-behavioral intervention for treating adolescents and adults with cannabis use disorders (CUD). In this study, we examine the outcome of this intervention after translating it into clinical practice. METHODS: A multi-site, randomized controlled trial of 279 treatment seekers with ICD-10cannabis use disorders aged 16- 63 years was conducted in 11 outpatient addiction treatment centers in Germany. Patients were randomly assigned to an Active Treatment (AT, n=149) or Delayed Treatment Control (DTC, n=130). Treatment consisted of 10 sessions of fully manualized individual psychotherapy that combined Cognitive-Behavioral Therapy, Motivational EnhancementTherapy and problem-solving training. Assessments were conducted at baseline, during each therapy session, at post-treatment and at three and six month follow-ups. RESULTS: At post assessment 53.3% of AT patients reported abstinence (46.3% negative urine screenings) compared to 22% of DTC patients (17.7% negative drug screenings) (p<0.001, Intention-to-treat analysis). AT patients improved in the frequency of cannabis use, number of cannabis dependence criteria, severity of dependence, as well as number and severity of cannabis-related problems. Effect sizes were moderate to high. While abstinence rates in the AT group decreased over the 3-month (negative urine screenings: 32.4%) and 6-month (negative urine screenings: 35.7%) follow-up periods, the effects in secondary outcomes were maintained. CONCLUSIONS: The intervention can successfully be translated to and applied in clinical practice. It has the potential to improve access to evidence-based care for chronic CUD patients.
RCT Entities:
BACKGROUND: In a recent paper, we reported the efficacy of a modular cognitive-behavioral intervention for treating adolescents and adults with cannabis use disorders (CUD). In this study, we examine the outcome of this intervention after translating it into clinical practice. METHODS: A multi-site, randomized controlled trial of 279 treatment seekers with ICD-10 cannabis use disorders aged 16- 63 years was conducted in 11 outpatient addiction treatment centers in Germany. Patients were randomly assigned to an Active Treatment (AT, n=149) or Delayed Treatment Control (DTC, n=130). Treatment consisted of 10 sessions of fully manualized individual psychotherapy that combined Cognitive-Behavioral Therapy, Motivational EnhancementTherapy and problem-solving training. Assessments were conducted at baseline, during each therapy session, at post-treatment and at three and six month follow-ups. RESULTS: At post assessment 53.3% of AT patients reported abstinence (46.3% negative urine screenings) compared to 22% of DTCpatients (17.7% negative drug screenings) (p<0.001, Intention-to-treat analysis). AT patients improved in the frequency of cannabis use, number of cannabis dependence criteria, severity of dependence, as well as number and severity of cannabis-related problems. Effect sizes were moderate to high. While abstinence rates in the AT group decreased over the 3-month (negative urine screenings: 32.4%) and 6-month (negative urine screenings: 35.7%) follow-up periods, the effects in secondary outcomes were maintained. CONCLUSIONS: The intervention can successfully be translated to and applied in clinical practice. It has the potential to improve access to evidence-based care for chronic CUDpatients.
Authors: Dustin C Lee; Nicolas J Schlienz; Erica N Peters; Robert H Dworkin; Dennis C Turk; Eric C Strain; Ryan Vandrey Journal: Drug Alcohol Depend Date: 2018-11-15 Impact factor: 4.492
Authors: Dusan Hirjak; Peter Gass; Michael Deuschle; F Markus Leweke; Andreas Böhringer; Nadine Schenkel; Doris Borgwedel; Marco Heser; Antje Breisacher; Andreas Meyer-Lindenberg Journal: Nervenarzt Date: 2020-03 Impact factor: 1.214