Childhood Maltreatment and Development of Substance Use Disorders
Bibliographic record
Abstract
Exposure to childhood maltreatment (CM) is associated with increased risk for developing substance use disorders (SUDs). CM exerts negative effects on cognitive abilities including intellectual performance, memory, attention, and executive function. Parallel cognitive impairments have been observed in SUDs. Hence, limited studies have examined the mediating effect of cognitive impairments in the relationship between CM and SUDs. In addition, most studies used concurrent self-report assessments in adult populations. Longitudinal studies that investigated the long-term consequences of CM on psychopathology, including SUDs, throughout childhood, adolescence, and adulthood are rare. Thus, the underlying developmental pathways between CM and SUDs are not clearly understood. In this article, we review the evidence that cognitive impairments mediate, at least in part, the relationship between CM and development of SUDs and propose a model that explains how CM increases the risk for SUDs through the development of a cognitive framework of vulnerability.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".