Evidence map›Paper›PMID 38076569›Full record

ArticleFrontiers in veterinary science2023

Indigenous knowledge and use of medicinal plants for ethnoveterinary within the North West Province, South Africa.

Rendani Victress Ndou, Simeon Albert Materechera, Mulunda Mwanza, Wilfred Otang-Mbeng, Mooki Fabridge Ijane

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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

5 authors at 2 institutions in 1 country.

Rendani Victress NdouCentre of Animal Health Studies, North West University, Mmabatho, South Africa.
Simeon Albert MaterecheraIndigenous Knowledge Systems Centre, North West University, Mmabatho, South Africa.
Mulunda MwanzaCentre of Animal Health Studies, North West University, Mmabatho, South Africa.
Wilfred Otang-MbengFaculty of Natural Sciences and Agriculture, School of Biology and Environmental Sciences, University of Mpumalanga, Mbombela, South Africa.
Mooki Fabridge IjaneCentre of Animal Health Studies, North West University, Mmabatho, South Africa.
North-West University · ZAUniversity of Mpumalanga · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethnoveterinary medicine (EVM) has been used by local South African communities for centuries. However, the knowledge of EVM is under threat due to the influence of Western medicine and acculturation. This study aimed to document the knowledge of ethnoveterinary medicinal plants in four villages within the Mahikeng Local Municipality to help preserve this valuable knowledge. The study used a qualitative research approach and targeted practitioners and holders of ethnoveterinary knowledge in four villages. Participants were recruited using key informants and snowball techniques, and in-depth interviews were conducted using semi-structured interview schedules. The data collected was analyzed thematically, and herbarium specimens were prepared from medicinal plants during field walks and sent to the South African National Biodiversity Institute (SANBI) for identification. The study documented the use of thirty-one medicinal plant species, with

Indexed as

African traditional medicineanimal healthethnoveterinary medicineindigenous knowledgemedicinal plants

Identifiers

PMID38076569
PMCPMC10703488
OpenAlexW4388946627

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.