Co-Occurring Substance Use, PTSD, and IPV Victimization: Implications for Female Offender Services
Bibliographic record
Abstract
The co-occurrence of substance use disorders (SUDs) and post-traumatic stress disorder (PTSD) among women who have been the victims of intimate partner violence (IPV) is complex and causal associations cannot be assumed. Although the presence of co-occurring disorders among IPV victims is a well-established research finding, there is a need for improved understanding of their prevalence and related mental health treatment requirements among female offenders. We review research indicating that service providers working with IPV victims can expect to encounter women with extensive concurrent problems and examine evidence for integrated treatment for SUD, PTSD, and IPV. We propose an outline for assessing and treating SUD and PTSD among female offenders who have experienced IPV victimization. We intend this review to build on previous calls in the co-occurring disorders literature and help integrate the research and treatment evaluation literatures in a way that points to practical implications for policy and practice in female offender services.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".