Evidence map›Paper›PMID 40963671›Full record

SynthesisFrontiers in pharmacology2025

Prevalence of herbal medicine use for maternal conditions in Tanzania: a systematic review and meta-analysis.

Hamisi S Japhari, Susan F Rumisha, Jackline D Nkoma, Emanuel L Peter

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hamisi S JaphariMabibo Traditional Medicine Research Center, National Institute for Medical Research, Dar Es Salaam, Tanzania.
Susan F RumishaChild Health Analytics, Malaria Atlas Project, Telethon Kids Institute, Nedlands, WA, Australia.
Jackline D NkomaMabibo Traditional Medicine Research Center, National Institute for Medical Research, Dar Es Salaam, Tanzania.
Emanuel L PeterMabibo Traditional Medicine Research Center, National Institute for Medical Research, Dar Es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies reported the prevalence of herbal medicines used for various maternal conditions across regions in Tanzanian communities. However, the lack of a national estimate of herbal medicine use makes it challenging for policymakers, herbal medicine regulators, and healthcare practitioners to make informed decisions on herbal medicine-related policies and practices to optimize their contribution to maternal healthcare. This systematic review and meta-analysis synthesized the national prevalence of herbal medicine use for maternal conditions based on ethnomedical studies conducted in Tanzania. Methods: Authors systematically searched for published articles in PubMed, Embase, CINAHL, African Index Medicus, and Scopus databases from inception to 29 June 2025. Grey literature was obtained from Google, Google Scholar, OpenGrey, and ProQuest Dissertations & Theses. Articles published in the English language were retrieved. Later, two authors independently assessed the retrieved articles for eligibility and risk of bias using pre-determined criteria. We used the Cochran Q statistics and I Results: About 22 studies with 5,248 women from 16 administrative regions of Tanzania were included in a narrative synthesis. These studies had a low to moderate risk of bias. Furthermore, fourteen studies (n = 4,817) were included in the meta-analysis. Overall, the average prevalence of herbal medicine use for maternal conditions was 46% [95%, CI: 34-58], I Conclusion: The findings suggest that at least two of every five Tanzanian women are using herbal medicines. However, these findings could understate the national prevalence due to the inadequate availability of data from other regions. The prevalence of herbal medicine (46%) underscores the need for policymakers and healthcare practitioners to account for herbal medicine use while planning for maternal care. To achieve a robust generalizable estimate, data from better-designed ethnomedical surveys from all regions are still needed. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42023410082, identifier CRD42023410082.

Indexed as

herbal medicinesmagnitudematernal conditionsprevalenceTanzania

Identifiers

PMID40963671
PMCPMC12436274

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.