The Effectiveness of Psychosocial Modalities in the Treatment of Alcohol Problems in Adults: A Review of the Evidence
Bibliographic record
Abstract
Our objectives were to review the effectiveness of psychosocial modalities in the treatment of alcohol use disorders and problems, and to examine the impact of therapists on treatment outcome, the evidence on best practices for comorbid conditions, and the evidence on treatment matching. We based our review on published systematic reviews of this topic after 2000. There is strong evidence that some, but not all, psychosocial treatments are effective in treating alcohol problems. Those with the strongest empirical support are motivational enhancement therapy, various cognitive-behavioural interventions, and brief interventions. Meta-analyses for several of these modalities suggest typical effect sizes in the low-to-moderate range. When these modalities have been compared with one another in well-designed clinical trials, they have been shown to be of comparable effectiveness. There is little basis on which to recommend one of these modalities over another but good reason to select from among them.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".