A case series of group-based ketamine-assisted psychotherapy for patients in residential treatment for eating disorders with comorbid depression and anxiety disorders
Bibliographic record
Abstract
BACKGROUND: Depression and anxiety outcome measures, safety/tolerability, patient satisfaction, and ease of implementation of group-based ketamine-assisted psychotherapy (G-KAP) delivered to patients in intensive residential eating disorder (ED) treatment were assessed. CASE PRESENTATION: This study reports on five participants with a diagnosis of an ED and comorbid mood and anxiety disorders who received weekly intramuscular ketamine injections in a group setting over 4 weeks. Measures of anxiety (GAD-7) and depression (PHQ-9) were administered pre-dose, 4-h post-dose, and 24-h post dose. Four of the 5 participants experienced clinically significant improvements on the PHQ-9 score (i.e., change greater than 5) while 2 of the 5 participants experienced clinically significant improvements on the GAD-7 score (i.e., change greater than 4) from pre-dose to 24-h post-dose after the last ketamine session. Dosing sessions were well tolerated, and no serious adverse events were reported. Clinical observations and participant reports corroborated improvements in depression and anxiety symptoms, good tolerability of ketamine treatment, and practical implementation of the G-KAP protocol in a residential ED treatment center. CONCLUSIONS: This study suggests the potential utility of G-KAP as an adjunct to intensive, specialized ED treatment. Overall, this novel, cross-diagnostic intervention warrants future research to further explore its appropriateness in a treatment setting.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".