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Record W2164725238 · doi:10.1586/14737175.5.1.129

Pharmacotherapy of post-traumatic stress disorder: a family practitioner’s guide to management of the disease

2005· review· en· W2164725238 on OpenAlexaff
Martin A. Katzman, Lukasz Struzik, Lisa L Vivian, Monica Vermani, Joanna McBride

Bibliographic record

VenueExpert Review of Neurotherapeutics · 2005
Typereview
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsSTART Clinic
Fundersnot available
KeywordsVenlafaxineSertralineTraumatic stressMirtazapinePsychiatryMedicineFluoxetinePharmacotherapyParoxetinePhenelzineMoclobemideFluvoxamineTricyclic antidepressantSerotonin reuptake inhibitorAntidepressantPsychologyMonoamine oxidaseInternal medicineAnxietySerotonin

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.127
GPT teacher head0.504
Teacher spread0.378 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations12
Published2005
Admission routes1
Has abstractyes

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