Alcohol-Related Care Among Veterans With Unhealthy Alcohol Use: The Role of Long-Term Opioid Therapy Receipt
Bibliographic record
Abstract
OBJECTIVES: Long-term opioid therapy (LTOT) is potentially dangerous among patients with unhealthy alcohol use because of possible adverse interactions. We examined receipt of alcohol-related care among patients with unhealthy alcohol use receiving LTOT and without opioid receipt. METHODS: We use data collected from 2009 to 2017 in the Women Veterans Cohort Study, a national cohort of Veterans engaged in Veterans Health Administration care. We included patients who screened positive for unhealthy alcohol use (score ≥5) using the Alcohol Use Disorder Identification Consumption questionnaire. Our primary exposure was LTOT (receipt of prescribed opioids for ≥90 days) versus no opioid receipt at the time of the first positive Alcohol Use Disorder Identification Consumption. Our primary outcome was receipt of brief intervention within 14 days of positive alcohol screen. Unadjusted and 4 adjusted modified Poisson regression models assessed prevalence and relative rates (RRs) of outcomes. RESULTS: Among eligible veterans, 6222 of 113,628 (5.5%) received LTOT at screening. Among patients receiving LTOT, 67.5% (95% confidence interval [CI], 66.3%-68.6%) had a documented brief intervention within 14 days of positive screen, compared with 70.1% (95% CI, 69.8%-70.4%) among patients without opioid receipt (RR, 0.96; 95% CI, 0.95-0.98; P < 0.001). Within adjusted models, the rate of brief intervention among patients receiving LTOT remained lower than patients without opioid receipt. CONCLUSIONS: Among patients with unhealthy alcohol use, patients receiving LTOT had significantly lower rates of brief intervention receipt compared with those without opioid receipt, and they should be a focus for interventions to improve alcohol-related care and safer opioid prescribing.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".