Home-based psilocybin-assisted therapy for a patient with advanced cancer: A case report
Bibliographic record
Abstract
OBJECTIVES: Psychospiritual distress affects many patients with cancer, contributing to diminished quality of life, decreased survival and a desire for hastened death. The current standard of care, which primarily consists of antidepressants and psychotherapy, has demonstrated only modest benefits. Psilocybin-assisted therapy (PAT) has shown evidence of rapid, durable, and significant effects on measures of both depression and anxiety in this patient population. METHODS: A 51-year-old man diagnosed with metastatic lung cancer, referred to palliative care (PC) with a prognosis of less than 6 months, experienced depression and anxiety in the context of demoralization and existential distress. His suffering persisted despite psychotherapy and treatment with 100 mg of sertraline. He was granted access to PAT through Health Canada's Special Access Program (SAP) and was treated with 25 mg of oral psilocybin in a homecare setting, with preparative and integrative therapy prior to and following the PAT session. RESULTS: PAT was well tolerated, with significant decreases in both anxiety and depression. The patient subjectively reported a sustained reduction in suffering and improved well-being at 2 months post-intervention. SIGNIFICANCE OF RESULTS: PAT, when utilized within an appropriate therapeutic framework, may be safely delivered at home and may serve as an effective and long-lasting treatment for symptoms of anxiety and depression associated with psychospiritual symptoms of existential distress in PC. Future studies should examine differences in outcomes between clinical and homecare settings for PAT, and could include creating practice guidelines and protocols for home-based PAT.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 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 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| 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".