Melatonin for Treatment-Seeking Alcohol Use Disorder patients with sleeping problems: A randomized clinical pilot trial
Bibliographic record
Abstract
A high percentage of subjects diagnosed with alcohol use disorder (AUD) suffer from sleeping difficulties. Lack of sleep could lead AUD patients to relapse or, sometimes, to suicide. Most of the currently prescribed medications to treat this complex problem retain a high risk of side effects and/or dependence. Therefore, the aim of the current clinical trial is to investigate the possibility of the use of a safer treatment, such as the natural health product melatonin, to treat alcohol-related sleeping problems. Sixty treatment-seeking AUD subjects were assigned to melatonin (5 mg) or placebo for 4 weeks of treatment. Change in sleeping quality which is the primary outcome of the study was assessed using the Pittsburgh sleep quality index (PSQI) scale. Linear mixed models were used to statistically analyze the difference in scores before and after 4 weeks of treatment. There was a reduction in the global PSQI score in both groups with no significant drug effect between groups. In conclusion, the use of melatonin (5 mg)/day didn't differ from placebo in decreasing sleeping problems in a sample of AUD subjects after 4 weeks of treatment. However, higher doses are worth exploring in future research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".