Opioid dependence during pregnancy: relationships of anxiety and depression symptoms to treatment outcomes
Bibliographic record
Abstract
AIMS: To examine the relationship of anxiety and depression symptoms with treatment outcomes (treatment discontinuation, rates of ongoing use of illicit drugs and likelihood of preterm delivery) in opioid-dependent pregnant women and describe their use of psychotropic medications. DESIGN AND SETTING: Secondary data analysis from a randomized clinical trial of treatment for opioid dependence during pregnancy. PARTICIPANTS: A total of 175 opioid-dependent pregnant women, of whom 131 completed treatment. MEASUREMENTS: Symptoms of anxiety and depression were captured with the 15-item Mini International Neuropsychiatric Interview (MINI) screen. Use of illicit drugs was measured by urine drug screening. Preterm delivery was defined as delivery prior to 37 weeks' gestation. Self-reported use of concomitant psychotropic medication at any point during the study was recorded. FINDINGS: Women reporting only anxiety symptoms at study entry were more likely to discontinue treatment [adjusted odds ratio (OR) = 4.56, 95% confidence interval (CI) : 1.91-13.26, P = 0.012], while those reporting only depression symptoms were less likely to discontinue treatment (adjusted OR = 0.14, 95% CI : 0.20-0.88, P = 0.036) compared to women who reported neither depression nor anxiety symptoms. No statistically significant between-group differences were observed for ongoing illicit drug use or preterm delivery. A majority (61.4%) of women reported use of concomitant psychotropic medication at some point during study participation. CONCLUSIONS: Opioid agonist-treated pregnant patients with co-occurring symptoms of anxiety require additional clinical resources to prevent premature discontinuation.
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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) | 0.000 | 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 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".