Evidence map›Paper›PMID 42718528›Full record

ArticleOpen research Africa2025

Ethnobotanical Study of Indigenous Knowledge on Medicinal Plants Used in the Talensi District of the Upper East Region of Ghana.

Emmanuel Azanlerigo, Philip T Thompson, Cephas Kanati, Mercy Badu

Abstract read
In one paragraph

Article in Open research Africa, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Emmanuel AzanlerigoChemistry, Kwame Nkrumah University of Science and Technology Department of Chemistry, Kumasi, Ashanti Region, Ghana.ORCID https://orcid.org/0009-0003-5498-6565
Philip T ThompsonChemistry, Kwame Nkrumah University of Science and Technology Department of Chemistry, Kumasi, Ashanti Region, Ghana.ORCID https://orcid.org/0000-0001-8236-8826
Cephas KanatiChemistry, Kwame Nkrumah University of Science and Technology Department of Chemistry, Kumasi, Ashanti Region, Ghana.
Mercy BaduChemistry, Kwame Nkrumah University of Science and Technology Department of Chemistry, Kumasi, Ashanti Region, Ghana.ORCID https://orcid.org/0000-0001-8038-1453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Talensi and Nabdam districts of northern Ghana maintain a rich tradition of plant-based medicine integrated with ritual healing. However, this knowledge has not previously been systematically and quantitatively documented. This study aimed to record medicinal plant use and analyse patterns of therapeutic importance across major disease categories. Methods: Between February 2023 and August 2024, semi-structured interviews were conducted with 219 informants. Relative Frequency of Citation (RFC), Use Value (UV), Fidelity Level (FL), Informant Consensus Factor (ICF), and Plant Part Value (PPV) were calculated. Inferential analyses included Spearman's rank correlation and Kruskal-Wallis tests with Dunn's post-hoc comparisons. A plant-disease interaction network was visualised using a chord diagram. Analyses were performed in R and GraphPad Prism. Results: Forty-six medicinal plant species belonging to 46 genera and 27 families were recorded for the treatment of gastrointestinal disorders, dermatological conditions, malaria, and snakebite. Roots dominated treatments for snakebite, skin and gastrointestinal disorders, while leaves were primarily used for malaria. Informant consensus was high for gastrointestinal disorders (ICF = 0.96), malaria (0.96), and skin diseases (0.93). RFC and UV were strongly correlated (ρ = 0.85, p < 0.001). Network analysis identified Conclusion: Talensi ethnomedicinal knowledge is structured around a small set of highly versatile plants, providing strong candidates for pharmacological and conservation prioritisation.

Indexed as

dermatologicalethnobotanygastrointestinalmalariamedicinal plantsskinsnake biteTalensi District

Identifiers

PMID42718528
PMCPMC13550910

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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.