2,447
Views
71
CrossRef citations to date
0
Altmetric
Original Articles

Psychosocial Treatment for Methamphetamine Use Disorders: A Preliminary Randomized Controlled Trial of Cognitive Behavior Therapy and Acceptance and Commitment Therapy

, , , , &
Pages 98-107 | Published online: 19 Apr 2010
 

ABSTRACT

Acceptance and Commitment Therapy (ACT) incorporates developments in behavior therapy, holds promise but has not been evaluated for methamphetamine use disorders. The objective of this study was to test whether ACT would increase treatment attendance and reduce methamphetamine use and related harms compared to cognitive behavior therapy (CBT). One hundred and four treatment-seeking adults with methamphetamine abuse or dependence were randomly assigned to receive 12 weekly 60-minute individual sessions of ACT or CBT. Attrition was 70% at 12 weeks and 86% at 24 weeks postentry. Per intention-to-treat analysis, there were no significant differences between the treatment groups in treatment attendance (median 3 sessions), and methamphetamine-related outcomes; however, methamphetamine use (toxicology-assessed and self-reported), negative consequences, and dependence severity significantly improved over time in both groups. Although ACT did not improve treatment outcomes or attendance compared to CBT, it may be a viable alternative to CBT for methamphetamine use disorders. Future rigorous research in this area seems warranted.

The authors would like to thank Thomas Sullivan from DMAC, University of Adelaide, for his assistance with mixed models analyses.

This study was supported by the 2002 South Australian Premier's Drug Summit (Initiative R1.4 Young People and Amphetamines—Treatment).

Notes

∗ MDMA = 3,4-methylenedioxymethamphetamine; MAM = monoacetylmorphine.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.