Nourishing the Spirit: Exploratory Research on Ayahuasca Experiences along the Continuum of Recovery from Eating Disorders
Bibliographic record
Abstract
Eating disorders (EDs) are serious health conditions that are among the most difficult to treat. Innovative treatments are needed and modalities from across cultures must be considered. Ayahuasca is a psychoactive plant-based tea originally used by Amazonian indigenous groups. A growing body of research points to its promise in the healing of various mental health issues. This study explored the potential therapeutic value of ayahuasca in the context of EDs, including the perceived impact of the preparatory diet and the ayahuasca purge. Sixteen individuals previously diagnosed with an ED participated in a semi-structured interview relating to their experiences with ceremonial ayahuasca drinking. Interviews were analyzed using thematic analysis. Themes presented relate to the reduction or cessation of ED and mental health symptoms, shifts in body perception, and the importance of a ceremonial setting and after-care. For some, the preparatory diet resulted in familiar patterns of concern; however, none felt triggered by the purge in ayahuasca. Ceremonial ayahuasca drinking shows promise in the healing of EDs and warrants further research.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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".