Substance Use Disorders: Sex Differences and Psychiatric Comorbidities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This article reviews sex differences in psychiatric comorbidity among individuals with substance use disorders and, in particular, the clinical significance of these differences for treatment outcome among women. METHOD: We undertook a computerized search of major health care databases. To enhance the search, we drew prior relevant articles from the reference list. RESULTS: Women with alcohol and other drug use disorders present higher rates of psychiatric comorbidity, particularly mood and anxiety disorders, than do men. Moreover, the comorbid diagnosis, particularly of depression, is more often primary in women, while in men the comorbidity is more often secondary to the substance abuse diagnosis. In addition, there is evidence that psychiatric comorbidity is associated with distinct, sex-specific outcomes for substance use treatment. CONCLUSIONS: Sex differences in the clinical presentation of substance-dependent individuals with psychiatric comorbidity present specific treatment challenges and opportunities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it