Top Ten Tips Palliative Care Clinicians Should Know About Psychedelic-Assisted Therapy in the Context of Serious Illness
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Bibliographic record
Abstract
Psychedelic-assisted therapy (PAT) is a burgeoning treatment with growing interest across a variety of settings and disciplines. Empirical evidence supports PAT as a novel therapeutic approach that provides safe and effective treatment for people suffering from a variety of diagnoses, including treatment-resistant depression, substance use disorder, and post-traumatic stress disorder. Within the palliative care (PC) field, one-time PAT dosing may lead to sustained reductions in anxiety, depression, and demoralization-symptoms that diminish the quality of life in both seriously ill patients and those at end of life. Despite a well-noted psychedelic renaissance in scholarship and a renewed public interest in the utilization of these medicines, serious illness-specific content to guide PAT applications in hospice and PC clinical settings has been limited. This article offers 10 evidence-informed tips for PC clinicians synthesized through consultation with interdisciplinary and international leading experts in the field with aims to: (1) familiarize PC clinicians and teams with PAT; (2) identify the unique challenges pertaining to this intervention given the current legalities and logistical barriers; (3) discuss therapeutic competencies and considerations for current and future PAT use in PC; and (4) highlight critical approaches to optimize the safety and potential benefits of PAT among patients with serious illness and their caregivers.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it