Foundations of Canadian Indigenous Medicine (Part II): Traditional Dermatologic First Aid Practices in First Nations and Inuit Communities in Canada
Bibliographic record
Abstract
BACKGROUND: In Indigenous communities, health transcends physical well-being, embracing harmony between the mind, spirit, body, and emotions. This holistic approach is deeply intertwined with traditional healing practices that draw upon the natural environment to promote well-being. Rooted in a rich cultural heritage and Indigenous knowledge systems, these therapeutic approaches create comprehensive wellness paradigms that honour both ancestral wisdom and biodiversity. OBJECTIVE: The aim of this review was to identify and analyze the prevalent plants employed by Indigenous communities for first aid dermatologic practices. This effort seeks to create a detailed reference promoting a holistic therapeutic framework. METHODOLOGY: A literature review of published articles containing text/keywords such as "First Nations" OR "Traditional medicine" was first conducted by searching the PubMed database. Additionally, the Native American Ethnobotany Database was systematically searched to gather plant and natural source-based remedies used by Indigenous communities in Canada. RESULTS: A total of 173 plant species were identified through our analysis. These species were utilized for various purposes such as treating sores, wounds, bruises, cuts, sprains, burns, and bites. CONCLUSION: Combining Indigenous knowledge of traditional medicine and Western clinical practices plays an important role in improving health and treatment outcomes in Indigenous patients and should be openly discussed to foster trust and improve compliance with a mutually derived treatment plan.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".