Psilocybin-Assisted Therapy for Brain Cancer Related Existential Distress: A Case-Report
Bibliographic record
Abstract
Introduction:Psilocybin-assisted therapy (PAT) has gained traction in palliative care as a treatment for existential distress in the last decade. Patients with brain cancer have been excluded from studies, yet they stand to benefit as much as other patients with cancer-related psychological distress. Case description:In this report, we discuss the case of a patient with end-of-life distress secondary to stage 4 astrocytoma that received PAT through Health Canada’s Special Access Program. The patient had a positive response to PAT without adverse events. Discussion:Standard treatment for existential distress is often inefficacious and PAT is rarely available, especially for patients with brain cancer. We highlight the importance of making PAT more available as many patients with unresolved existential distress resort to medical assistance in dying without ever knowing of the existence of PAT. Conclusion:PAT was effective in partially alleviating the patient’s existential distress. Access to PAT needs to be expanded urgently.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".