Ethnopharmacological studies on the uses of Euphorbia hirta in the treatment of dengue in selected indigenous communities in Pangasinan (Philippines)
Bibliographic record
Abstract
AIM: Euphorbia hirta is the most widely used plant in the folkloric treatment of dengue in the Philippines. This study documents the anecdotal uses of E. hirta in the treatment of dengue in 3 indigenous communities in Pangasinan from April to June of 2015. MATERIALS AND METHODS: The number of use reports pertaining to symptoms of dengue and other diseases were tallied from 82 informants living in Anda Island, Mt. Colisao and Mt. Balungao. The demographics of the informants as well as the corrected major use agreements (cMUAs) and fidelity levels (FLs) of each reported symptom of dengue were calculated. The major dosage forms used during treatment were also tallied. RESULTS: Respondents, dominated by the age group 60-80 and mostly females with at least primary and secondary education, provided information on the use reports of E. hirta. High FL values and cMUA of at least 35% were obtained for cardinal symptoms of dengue-related to bleeding episodes while low cMUAs (i.e. 2-4%) were obtained for symptoms during the recovery phase. High FL values were obtained for symptoms observed during the febrile phase. The most widely used dosage forms are decoctions of the leaves and barks of E. hirta. CONCLUSION: This study was able to qualify the uses of E. hirta in the treatment of dengue in the 3 communities surveyed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".