Summary of findings table – disulfiram vs naltrexone: Dropouts due to adverse events
It is very uncertain whether summary of findings table – disulfiram changes dropout due to adverse events (number of participants who did not… compared with naltrexone (very low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Summary of findings table – disulfiram vs naltrexone Dropout due to adverse events (number of participants who did not complete treatment due to adverse events) · people with cocaine dependence It is very uncertain whether summary of findings table – disulfiram changes dropout due to adverse events (number of participants who did not… compared with naltrexone (very low certainty). Disulfiram for the treatment of cocaine dependence (2024) · Cochrane Headline outcomes only | RR 0.5 [0.07, 3.55] | 1 study · 8 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Disulfiram for the treatment of cocaine dependence 2024 · Cochrane Headline outcomes only | Not reported | list not extracted yet | Not assessed |
Studies behind the findings
None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.