Ethnopharmacy of Selected Medicinal Plants in a Group of Infants of Educated and Employed Mothers in Amman City
Bibliographic record
Abstract
Background: Employed mothers have little time for infant care and doctor visit. They resemble other women who prefer using medicinal plants to treat minor and self-limited medical problems. Objective: To investigate the frequency of using selected medicinal plant among infants of educated and employed mothers and the indications of use for these medicinal plants in Jordan. Methods: Observational study was conducted on employed mothers of 100 infants (50 males; 50 females) aged between 2-12 months in Jordan. Infants were divided according to gender into males and females and they were further subdivided into < 6 months and ≥6 months according to age. Infants' mothers were interviewed and asked about the usage and indications of the selected medicinal plants. The health and socio-demographic data were collected by the principal investigator through a valid and reliable questionnaire. Results: Employed mothers frequently used medicinal plants to treat infantile colic, constipation, coughing or inability to sleep. The most frequently used medicinal plant among employed mothers was anise, Pimpinella anisum (44%) especially for infants aged <6 months which was negatively correlated with infantile colic and positively correlated with induce sleep indication. Thymus vulgaris was commonly used to treat cough (40%) followed by both chamomile, Matricaria aurea and anise, Pimpinella anisum (30%) while, sage, Salvia triloba was the most frequently used medicinal plants to treat infantile colic (35.71%). Conclusion: Employed and well-educated mothers frequently used medicinal plants among their infants. The safety of using medicinal plants among infants is questionable.
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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 | 0.000 | 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 | 0.001 | 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) | 0.001 | 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".