Foundations of Canadian Indigenous Medicine (Part III): Treatment Approaches for Common Dermatological Conditions
Bibliographic record
Abstract
BACKGROUND: Indigenous communities in Canada face significant dermatological health care disparities due to systemic barriers, geographic isolation, and limited access to specialists. These challenges are further exacerbated by numerous socio-economic factors. Addressing these issues requires policy reforms, Indigenous-led health care initiatives, and the recognition of traditional natural-based remedies as valuable contributors to improve health outcomes, mutual trust, and patient compliance. METHODOLOGY: A detailed literature review was conducted using PubMed and the Native American Ethnobotany Database, aiming to identify traditional remedies focusing on plants and natural resources used by Indigenous/First Nations communities for the treatment of dermatological conditions and skin wellness. The focus was on plant-based and natural resources traditionally used by the Cree, Inuit, Algonquin, and Iroquois, as documented in ethnobotanical and medical literature. RESULTS: A total of 73 distinct plant species used for various dermatological conditions were identified from 64 articles. These findings were categorized into 8 groups based on the specific skin conditions they addressed: psoriasis/papulosquamous-related conditions, acne, infections affecting the skin and soft tissues, pruritic disorders, cosmetic and aesthetic applications, warts, hair and nail conditions, and other dermatological applications. Many of these treatments possess antimicrobial and anti-inflammatory properties, highlighting their potential for integration into modern skincare and therapeutic innovations. CONCLUSION: For generations, Indigenous communities have relied on traditional plant-based remedies for dermatological care, emphasizing a holistic approach to well-being. Integrating these practices with Western dermatology can foster trust, improve patient outcomes, and uphold cultural values.
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) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".