Ethnomedicinal Uses of Fabaceae Species for Respiratory Infections and Related Symptoms in the Limpopo Province, South Africa
Bibliographic record
Abstract
Purpose: The present study investigated utilisation of Fabaceae species as herbal medicines for respiratory infections and related symptoms in the Limpopo Province, South Africa.Methods: Information on Fabaceae species used as herbal medicines against respiratory infections was gathered using semi-structured questionnaires during face-to-face interviews with 240 Pedi speaking traditional healers (THs) from May to July 2017. Voucher specimens of utilized plant species were collected and their identities and scientific names authenticated by a plant taxonomist at the University of Limpopo’s Larry Leach Herbarium.Results: Twenty-five plant species belonging to 16 genera were used by THs in treating 13 respiratory infections. Majority of the species (64.0%, n=16) were multi-used while 36.0% (n=9) treated a single condition each. Plants which showed the highest fidelity level (FL) scores included Acacia senegal (chronic cough=FL; 32.8, chest pain=FL; 32.8, tuberculosis=FL; 32.8), Dichrostachys cinerea (tuberculosis= FL; 100) and Acacia erioloba (pneumonia=FL; 92.7). These species were also characterized by high use value (UV) indices of 2.5, 0.82 and 0.58, respectively.Conclusion: Some of the plants recorded in this study are reported in literature to have potent biological activities against diverse pathogens which cause respiratory infections and perceived symptoms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".