Dose-dependent reduction of hazardous alcohol use in a placebo-controlled trial of naltrexone for smoking cessation
Bibliographic record
Abstract
The opiate antagonist naltrexone (Ntx) has demonstrated efficacy in the treatment of alcohol dependence and as a component of treatment to reduce heavy drinking. At present, there are no published dose-ranging clinical trials of the oral preparation for treatment of problem drinking. The present study evaluated the effects of Ntx on alcohol use among the subset of hazardous drinkers (n=102) who participated in a placebo-controlled, dose-ranging trial of oral Ntx (25-mg, 50-mg and 100-mg doses) combined with open-label transdermal nicotine patch for enhancing smoking cessation. On the primary outcome--no hazardous drinking (drinking that exceeded weekly or daily limits) during treatment--25 mg and 50 mg Ntx were superior to placebo (each p<0.05). These findings remained after controlling for baseline predictors or smoking abstinence during treatment. Time to remission of hazardous drinking was examined as a secondary outcome with definitions of hazardous drinking based on weekly limits, daily limits and the combination of weekly and daily limits and the results were consistent with the primary findings. In conclusion, the findings suggest that Ntx can reduce the risk of hazardous drinking in smokers who are not seeking or receiving alcohol treatment, providing strong evidence for the pharmacological effects of Ntx on drinking. This effect appears to favour lower doses that may be better tolerated and less expensive than the higher 100-mg dose. Given its efficacy and favourable side-effect profile, the 25-mg dose should be considered for future studies of combination therapy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".