Ayahuasca ceremony leaders’ perspectives on special considerations for eating disorders
Bibliographic record
Abstract
Eating disorders (EDs) are difficult conditions to resolve, necessitating novel treatments. Ayahuasca, a psychedelic plant medicine originating in Indigenous Amazonian communities, is being investigated. Aspects of ceremonial ayahuasca use (purging, dietary restrictions) appear similar to ED behaviors, raising questions about ayahuasca's suitability as an intervention for individuals with EDs. This study explored the perspectives of ayahuasca ceremony leaders on these and other considerations for ceremonial ayahuasca drinking among individuals with EDs. A qualitative content analysis of interviews was undertaken with 15 ayahuasca ceremony leaders, the majority of whom were from the West/Global North. Screening for EDs, purging and dietary restrictions, potential risks and dangers, and complementarity with conventional ED treatment emerged as categories. The findings offer ideas, including careful screening and extra support, to promote safe and beneficial ceremony experiences for ceremony participants with EDs. More research is needed to clarify the impacts of ceremony-related purging and preparatory diets. To evolve conventional models of treatment, the ED field could consider Indigenous approaches to mental health whereby ayahuasca ceremony leaders and ED researchers and clinicians collaborate in a decolonizing, bidirectional bridging process between Western and Indigenous paradigms of healing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".