Therapeutic Effects of Ceremonial Ayahuasca Use for Methamphetamine Use Disorders and Other Mental Health Challenges: Case Studies in an Indigenous Community in Sonora, Mexico
Bibliographic record
Abstract
This paper describes three case studies from an outpatient intercultural therapeutic program founded and run by Yaqui health professionals and traditional healers to serve members of the Yaqui tribe residing in Sonora, Mexico. This pilot therapeutic program has been designed specifically for Indigenous individuals, incorporating the ceremonial use of naturally derived psychedelics in addressing substance use disorders and other mental health issues. The program employs a community-based approach, integrating various traditional Indigenous healing practices like the sweatlodge (temazcal), medicinal plant preparations, and the ritualistic use of selected psychedelics from natural sources (such as ayahuasca, peyote, and secretions from Incilius alvarius). These approaches are complemented by culturally attuned group and individual psychotherapy sessions, as well as group sports, community meals, collaborative construction efforts for a permanent clinical infrastructure, and cultural engagements such as art, crafts, and collective music. To evaluate the program’s efficacy, safety, and cultural implications, an ongoing observational study is being conducted by an international team of researchers. The preliminary results demonstrate therapeutic progress and improved psychometric outcomes observed in the three case studies presented, indicating promise for this intercultural therapeutic intervention.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".