Evidence map›Paper›PMID 24359615›Full record

ArticleJournal of ethnobiology and ethnomedicine2013

Botanical ethnoveterinary therapies in three districts of the Lesser Himalayas of Pakistan.

Arshad Mehmood Abbasi, Shujaul Mulk Khan, Mushtaq Ahmad, Mir Ajab Khan, Cassandra Leah Quave, Andrea Pieroni

Abstract read
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Article in Journal of ethnobiology and ethnomedicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

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0cells of the map it votes in
35citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  19. Ethnoveterinary plants of Pakistan: a review.Journal of ethnobiology and ethnomedicine · 2020
    Review
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Arshad Mehmood AbbasiDepartment of Environmental Sciences, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan. amabbasi@ciit.net.pk.
Shujaul Mulk Khan
Mushtaq Ahmad
Mir Ajab Khan
Cassandra Leah Quave
Andrea Pieroni

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEthnoveterinary knowledge is highly significant for persistence of traditional community-based approaches to veterinary care. This is of particular importance in the context of developing and emerging countries, where animal health (that of livestock, especially) is crucial to local economies and food security. The current survey documents the traditional veterinary uses of medicinal plants in the Lesser Himalayas-Pakistan.

methodsData were collected through interviews, focus groups, participant observation, and by administering questionnaires. A total of 105 informants aged between 20-75 years old who were familiar with livestock health issues (i.e. farmers, shepherds, housewives and herbalists) participated in the study.

resultsA total of 89 botanical taxa, belonging to 46 families, were reported to have ethnoveterinary applications. The most quoted families were Poaceae (6 taxa), Fabaceae (6), Asteraceae (5), and Polygonaceae (5). Adhatoda vasica was the most cited species (43%), followed by Trachyspermum ammi (37%), and Zanthoxylum armatum var. armatum (36%). About 126 medications were recorded against more than 50 veterinary conditions grouped into seven categories. The highest cultural index values were recorded for Trachyspermum ammi, Curcuma longa, Melia azedarach, Zanthoxylum armatum var. armatum and Adhatoda vasica. The highest informant consensus factor was found for pathologies related to respiratory and reproductive disorders. Comparison with the local plant-based remedies used in human folk medicine revealed that many of remedies were used in similar ways in local human phytotherapy. Comparison with other field surveys conducted in surrounding areas demonstrated that approximately one-half of the recorded plants uses are novel to the ethnoveterinary literature of the Himalayas.

conclusionThe current survey shows a remarkable resilience of ethnoveterinary botanical knowledge in the study area. Most of the species reported for ethnoveterinary applications are wild and under threat. Thus, not only is it imperative to conserve traditional local knowledge of folk veterinary therapies for bio-cultural conservation motives, but also to assist with in-situ and ex-situ environmental conservation initiatives, which are urgently needed. Future studies that focus on the validation of efficacy of these ethnoveterinary remedies can help to substantiate emic concepts regarding the management of animal health care and for rural development programs.

Indexed as

Animals, DomesticAdultAgedAnimal DiseasesAnimal HusbandryAnimalsBiodiversityData CollectionEthnobotanyFemaleFocus GroupsHealth Knowledge, Attitudes, PracticeHumansInterviews as TopicMaleMiddle Aged

Identifiers

PMID24359615
PMCPMC3904763

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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.