The Effect of Ketamine-Assisted Group Therapy on Treatment-Resistant Mental Health Conditions in Firefighters
Bibliographic record
Abstract
OBJECTIVE: Firefighters display elevated risk for diagnoses of mental health illnesses. Psychedelic-assisted therapies show promise in the treatment of clinically challenging conditions. This observational case series analyzed data from firefighters with mental health diagnoses who participated in a 12-week ketamine-assisted group therapy treatment plan. METHODS: Questionnaire scores (Generalized Anxiety Disorder Assessment-7, Patient Health Questionnaire-9, The Posttraumatic Stress Disorder Checklist -5, Brief Inventory of Psychosocial Functioning ) collected throughout the program were scored and statistically analyzed for changes. Qualitative data were analyzed through thematic analysis. RESULTS: Significant decreases with large effect sizes were detected in Generalized Anxiety Disorder Assessment-7 and The Posttraumatic Stress Disorder Checklist-5 scores after completion in the 12-week treatment plan, which persisted 6 months later. Participants noted it was beneficial being in a cohort with fellow firefighters. CONCLUSIONS: Statistically and clinically significant improvements to posttraumatic stress disorder and anxiety diagnoses were detected in the cohort of firefighters after the Roots to Thrive Ketamine-Assisted Group Therapy program, with results retained six months post treatment.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".