Pharmacotherapy for Alcohol-Related Disorders: What Clinicians Should Know
Bibliographic record
Abstract
Alcohol-related disorders are a major public health problem in the United States. Alcohol interacts with several neurotransmitter systems causing both acute and chronic effects in the brain. While the mainstay of treatment of alcohol-related disorders, with the exception of alcohol withdrawal, has historically been psychosocial, pharmacotherapy is increasingly being investigated and incorporated into standard clinical practice. Patients with alcohol use disorders and comorbid psychiatric conditions, most commonly depressive and anxiety disorders, can benefit from symptom-targeted pharmacotherapy, even if the patient fails to achieve abstinence from alcohol. Although benzodiazepines remain the treatment of choice to treat alcohol withdrawal, a variety of other agents is being investigated, particularly in the outpatient setting. Further randomized clinical trials of alcohol-related disorder pharmacotherapy, particularly of comorbid subpopulations, are needed to better inform clinical decision making. The routine exclusion of alcohol-dependent patients from pharmacotherapy trials of psychiatric disorders presents a barrier to gathering more data. Recommendations for future research are discussed.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".