Associations between posttraumatic stress disorder and substance use: a longitudinal investigation of individuals recently exposed to trauma
Bibliographic record
Abstract
Posttraumatic stress disorder (PTSD) and substance use disorder (SUD) commonly cooccur following trauma, and their co-occurrence is associated with substantial costs; however, our understanding of the timing and sequencing of these posttrauma mental health conditions is limited. This study examined the trajectories of PTSD symptom severity and substance use among individuals recently exposed to a traumatic event, with a focus on the potential moderating roles of PTSD and SUD diagnoses at the final assessment. Additionally, in attempt to better understand the functional relationship between PTSD symptoms and substance use posttrauma, this study compared models reflecting the theories of self-medication, susceptibility, and mutual maintenance. Participants included 137 individuals who had experienced a traumatic event within 6 months prior to study enrollment. Participants completed four assessments over an approximate 1-year period that included clinician-administered measures for DSM-5 PTSD symptoms and SUD diagnosis and self-report measures of alcohol and drug use. Change over time in PTSD symptoms and substance use by diagnostic status were investigated using growth curve models. Temporal sequencing between PTSD symptom severity and substance use was investigated with bivariate latent difference score structural equation modeling. In line with the conceptualization of PTSD as a disorder of impeded recovery, having a diagnosis of PTSD at the final assessment moderated the trajectory of PTSD symptom severity such that symptom severity declined only among those without PTSD. In contrast, the influence of SUD appeared to be negligible. Both PTSD and SUD diagnoses were associated with initial drug use frequency. However, the relationship between alcohol use and diagnostic status did not reach statistical significance. Regarding temporal relationships between PTSD symptoms and substance use, significant and negative PTSD to change in substance use cross-lagged paths were found across most of the models, while only one significant substance use to change in PTSD severity crosslagged path emerged in the PTSD intrusion with alcohol use model. These results add to a growing body of research suggesting trauma-focused intervention is viable for individuals with PTSD/SUD. Further, examination of potential mediators and moderators of the relation between PTSD and SUD is recommended as a critical focus for future research.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".