Evidence map›Paper›PMID 37886427›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2023

Ethnobotanical Study of Medicinal Plants Used against Human Diseases in Zuway Dugda District, Ethiopia.

Moa Megersa, Tesfaye Nedi, Shiferaw Belachew

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
9.9field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Chemical Characterization and Bioactive Potential ofMolecules (Basel, Switzerland) · 2026
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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

3 authors at 1 institution in 1 country.

Moa MegersaDepartment of Biology, School of Natural and Computational Sciences, Madda Walabu University, P.O. Box 247, Robe, Ethiopia.ORCID https://orcid.org/0000-0001-8574-1091
Tesfaye NediDepartment of Biology, School of Natural and Computational Sciences, Madda Walabu University, P.O. Box 247, Robe, Ethiopia.
Shiferaw BelachewDepartment of Biology, School of Natural and Computational Sciences, Madda Walabu University, P.O. Box 247, Robe, Ethiopia.
Madda Walabu University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In Ethiopia, traditional medicine has significantly contributed to the treatment of public health conditions. However, when contrasted with the ethnic diversity of Ethiopians, the number of medicinal plants that have been documented remains limited. As a result, the study aimed to record the medicinal plants used in the Zuway Dugda district communities. Results: A total of 73 plant species, representing 62 genera and 40 families, were collected and identified. Asteraceae, Fabaceae, and Solanaceae had the most species, with each family having 6 (8.22%) species, followed by Euphorbiaceae, which had 4 (5.48%) species. The wild harvest of approximately 49 medicinal plants (or 67.12%) was used. 31 plant species, or 42.47% herbs, were found to be the most commonly used life forms. The most frequently used plant parts were reported to be the leaves, which accounted for 55 species (41.35%) and then the roots 25(18.80%). Headache, toothache, depression, febrile illness, and fever had the lowest ICF values (0.33), while snake bite-related issues had the highest ICF values (0.93). The results of the preference ranking indicated that locals prefer to treat wounds with Conclusions: It is essential to combine indigenous knowledge with scientific methods in order to extract the most benefit from medicinal plants. The results of the ICF and preference ranking could be used as a prelude to this. Since

Identifiers

PMID37886427
PMCPMC10599937
OpenAlexW4387737072

What OpenQuestion holds

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Registered trials

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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.