Classic Psychedelic Use and Mechanisms of Mental Health: Exploring the Mediating Roles of Spirituality and Emotion Processing on Symptoms of Anxiety, Depressed Mood, and Disordered Eating in a Community Sample
Bibliographic record
Abstract
A resurgence of research has begun to systematically examine the relationship between psychedelic use and mental health and well-being. Although preliminary findings examining the therapeutic value of these substances show promise, the mechanisms through which psychedelic use may predict reduced mental distress remain poorly understood. To this end, we surveyed a community sample of individuals ( n = 159) who endorsed lifetime psychedelic use to examine relationships among psychedelic use and self-reported spirituality, difficulties in emotion regulation, and symptoms of mental health issues. Results revealed a pathway through which classic psychedelic use predicted greater spirituality, which in turn predicted better emotion regulation, ultimately predicting lower levels of anxiety, depressed mood, and disordered eating. These results contribute to our understanding of potential mechanisms of change with respect to psychedelics and mental health. They also add to the growing body of literature pointing to the healing effects of the cultivation of spirituality and emotion regulation as separate and related constructs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".