Pharmacotherapy of post-traumatic stress disorder: a family practitioner’s guide to management of the disease
Bibliographic record
Abstract
Post-traumatic stress disorder is a difficult to treat, yet common disorder, which is associated with significant morbidity, mortality and societal burden. Comprehensive management of post-traumatic stress disorder must include both psychotherapeutic and pharmacologic components. The current evidence-based pharmacologic management approaches to post-traumatic stress disorder, suggests that first-line treatments for monotherapy are the selective serotonin reuptake inhibitors, sertraline, paroxetine and fluoxetine. Other potential options include other monotherapies including venlafaxine, mirtazapine, tricyclic antidepressants, monoamine oxidase inhibitors, as well as adjunctive usage of atypical antipsychotics, lamotrigine, trazadone and a number of adrenergic agents. A trial of therapy should be at least 8 weeks and continue for at the very least 12 months, but is likely to be much longer. In light of the risks of untreated post-traumatic stress disorder (e.g., suicide and impaired psychosocial functioning), therapy may need to be continued for 2 years or more. Pharmacologic therapy instituted at the time of acute psychologic trauma shows promise for the prevention of post-traumatic stress disorder in the future and warrants further study.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.018 |
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".