Traditional perinatal plant knowledge in Sub-Saharan Africa: Comprehensive compilation and secondary analysis
Bibliographic record
Abstract
Sub-Saharan Africa has rich ethnobotanical heritage of public health relevance within pluralistic systems of perinatal care. Compiling of reported medicinal plant use during pregnancy and postpartum from historical and contemporary sources allowed for analyses directed at i) identification of the most important taxa in relation to key functional purposes, ii) establishing patterns of use, and iii) testing the hypothesis that perinatal plant use is non-random. Data from 410 publications generated 5979 use reports related to 2122 species from 181 plant families, with 53% of reports published from 2005 to 2020. New species continue to be added at a constant rate. With 86% (67/78) of perinatal-focused papers published since 2005, purposeful research contributes to an increase in overall data availability. For analysis, reports were categorized as i) uterotonic (n = 2596), ii) prenatal (n = 1778, 555 specifically for preventing miscarriage or delaying the onset of labor), iii) lactation and postpartum recovery (n = 1194, 812 as galactagogues), or iv) newborn and infant health (n = 1018). Most frequently reported species per category are discussed in relation to published pharmacological data. Based on congruence among linear regression, negative binomial regression, Bayesian, and Imprecise Dirichlet Model statistics, non-random use includes preference for i) latex-producing families during lactation and postpartum, ii) families differentiating tocolytic and general pregnancy application, and iii) Crassulaceae species for infant umbilicus healing. Significant underuse of the Rubiaceae throughout the perinatal, and for the Apocynaceae and Euphorbiaceae during pregnancy and parturition specifically, suggests avoidance. Traditional plant knowledge remains relevant to the health and social well-being of Sub-Saharan African populations. Within pluralistic systems, documentation of traditional practices can contribute to complementary approaches and the mediation of potential conflicts with conventional healthcare. Refinement of quantitative and qualitative methodologies for documenting perinatal knowledge, beliefs, and practices can further understanding of the congruence among sociocultural, ecological, molecular, behavioral, and health aspects of women's perinatal use of medicinal plants.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.039 | 0.040 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".