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Published on: January 5, 2018
Are alcoholism treatments effective? The Project MATCH data
Robert B Cutler1, David A Fishbain
1Department of Psychiatry and Behavioral Sciences, University of Miami School of Medicine, Miami, Florida, USA. r.cutler@miami.edu
Alcoholism treatment effectiveness is minimal, with most improvement occurring before treatment begins. Self-selection effects and untreated individuals show significant gains, questioning the efficacy of current psychosocial interventions.
Area of Science:
- Addiction research
- Clinical psychology
- Psychosocial interventions
Background:
- Project MATCH, a large alcoholism trial, yielded disappointing results with no significant patient-treatment matches.
- Three distinct treatments showed nearly identical outcomes, interpreted as evidence of their effectiveness.
Purpose of the Study:
- To re-analyze Project MATCH data to estimate treatment effectiveness in relation to the quantity of treatment received.
- To investigate the impact of treatment duration on outcomes for alcohol-dependent individuals.
Main Methods:
- Secondary analysis of a multisite clinical trial involving 1726 alcohol-dependent volunteers receiving outpatient psychosocial therapy.
- Primary outcome variables included percent days abstinent (PDA) and drinks per drinking day (DDD).
- Comparison of outcomes across groups: immediate dropouts, one-session dropouts, and those attending 12 sessions.
Main Results:
- Overall, only 3% of drinking outcome improvement was attributable to treatment, with most gains observed by week one.
- The group receiving no treatment (dropouts) showed significant improvement (72% PDA), duplicating 2/3 to 3/4 of the full treatment group's gains.
- One therapy session worsened outcomes, suggesting a self-selection effect; further sessions yielded minimal additional benefit.
Conclusions:
- Current psychosocial treatments for alcoholism appear to have limited effectiveness.
- Significant improvement is observed in untreated alcoholics in clinical trials.
- Much of the perceived treatment effect is likely due to selection bias and natural improvement, not the interventions themselves.
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