The Sweat Lodge Ceremony: A Healing Intervention for Intergenerational Trauma and Substance Use
Bibliographic record
Abstract
Many traditional healers and Elders agree that strengthening cultural identity, incorporating traditional healing practices, and encouraging community integration can enhance and improve mental health and reduce substance use disorders (SUD) in Indigenous populations. Despite the fact that traditional healing practices have always been valued by Indigenous Peoples, there is very little research on efficacy. Recent research by one of the authors in this group (T. Marsh) has shown that the blending of Indigenous traditional healing practices and a Western treatment model, Seeking Safety, resulted in a reduction in intergenerational trauma (IGT) symptoms and substance use disorders (SUD). This article focuses on the qualitative evidence concerning the impact of the traditional healing practices, specifically the sweat lodge ceremony. Participants reported an increase in spiritual and emotional well-being that they said was directly attributable to the ceremony. This study demonstrates that it would be beneficial to incorporate Indigenous traditional healing practices, including the sweat lodge ceremony, into Seeking Safety to enhance the health and well-being of Indigenous Peoples with IGT and SUD.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".