Couple Treatment for Alcohol Use Disorder and Posttraumatic Stress Disorder: Pilot Results From U.S. Military Veterans and Their Partners
Bibliographic record
Abstract
We studied 13 U.S. male military veterans and their female partners who consented to participate in an uncontrolled trial of couple treatment for alcohol use disorder and posttraumatic stress disorder (CTAP). CTAP is a 15-session, manualized therapy, integrating behavioral couples therapy for alcohol use disorder (AUD) with cognitive-behavioral conjoint therapy for posttraumatic stress disorder (PTSD). Due to ineligibility (n = 1) and attrition (n = 3), 9 couples completed the study, and 7 completed 12 or more sessions. There were 8 veterans who showed clinically reliable pre- to posttreatment reduction of PTSD outcomes. There were also significant group-level reductions in clinician-, veteran-, and partner-rated PTSD symptoms (d = 0.94 to 1.71). Most veterans showed clinically reliable reductions in percentage days of heavy drinking. Group-level reduction in veterans' percentage days of heavy drinking was significant (d = 1.01). There were 4 veterans and 3 partners with clinically reliable reductions in depression, and group-level change was significant for veterans (d = 0.93) and partners (d = 1.06). On relationship satisfaction, 3 veterans and 4 partners had reliable improvements, and 2 veterans and 1 partner had reliable deterioration. Group-level findings were nonsignificant for veteran relationship satisfaction (d = 0.26) and for partners (d = 0.52). These findings indicate that CTAP may be a promising intervention for individuals with comorbid PTSD and AUD who have relationship partners.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".