Dose-dependent reduction of hazardous alcohol use in a placebo-controlled trial of naltrexone for smoking cessation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it