| Literature DB >> 32414421 |
Muhammad Abdul Aziz1, Amir Hasan Khan2, Andrea Pieroni3.
Abstract
BACKGROUND: Ethnoveterinary medicine is crucial in many rural areas of the world since people living in remote and marginal areas rely significantly on traditional herbal therapies to treat their domestic animals. In Pakistan, communities residing in remote areas, and especially those still attached to pastoralist traditions, have considerable ethnoveterinary herbal knowledge and they sometimes use this knowledge for treating their animals. The main aim of the study was to review the literature about ethnoveterinary herbals being used in Pakistan in order to articulate potential applications in modern veterinary medicine. Moreover, the review aimed to analyze possible cross-cultural and cross regional differences.Entities:
Keywords: Ethnoveterinary; Medicinal plants; Pakistan; Pathans
Mesh:
Substances:
Year: 2020 PMID: 32414421 PMCID: PMC7227227 DOI: 10.1186/s13002-020-00369-1
Source DB: PubMed Journal: J Ethnobiol Ethnomed ISSN: 1746-4269 Impact factor: 2.733
Ethnoveterinary studies of Pakistan considered in the current review
| Reference | Number of plant species | Collection of botanical vouchers | Reported local names | Reported methods of preparation | Areas/Regions | Languages | Characteristics of the study participants | Methodological framework (data collection techniques and data analysis) |
|---|---|---|---|---|---|---|---|---|
| Abbasi et al. [ | 89 | Yes | Yes | Yes | Haripur, Abbottabad, Mansehra | Hindko | Farmers, shepherds, housewives, and herbalists | Participatory rural appraisal (PRA) approach was adopted. Information was collected through semi-structured interviews. Cultural importance index (CI) was used to analyze the data. |
| Ahmad et al. [ | 22 | Yes | Yes | Yes | Thakht-e-Sulaiman Hills | Pashto | Male informants | Snowball sampling and detailed unstructured interviews were utilized as well as group discussions. Informant consensus factor (ICF) and fidelity level (FL) were calculated and applied to the collected data. |
| Ahmed & Murtaza [ | 24 | No | Yes | Yes | District Muzaffarabad | Hindku | Males and females (local healers and shepherds) | Data was collected through semi-structured interviews. Informant consensus factor (ICF) and fidelity level (FL) were used to analyze the data. |
| Ali et al. [ | 51 | Yes | Yes | Yes | Central Karakoram National Park | Balti | Traditional healers and livestock holders (men and women) | Participatory rural appraisal (PRA) approach was adopted. Data was gathered through semi-structured questionnaires and interviews. Informant consensus factor (ICF) was used to analyze the data. |
| Aziz et al [ | 94 | Yes | Yes | Yes | South Waziristan, Bajaur | Pashto | Local peoples (men and women) | Semi-structured interviews were used to collect the data, which was analyzed through informant consensus factor (ICF). |
| Badar et al. [ | 46 | No | Yes | Yes | District Jhang | Punjabi | Traditional healers | Rapid and participatory rural appraisal techniques were used for collection of information i.e. interviews and focus group discussions were utilized to gather the data. Data was not subjected to applied statistics. |
| Deeba et al. [ | 39 | No | Yes | Yes | Faisalabad | Not mentioned | Elders and traditional healers | Rapid rural appraisal (RRA) and participatory rural appraisal (PRA) techniques were used for selection of key respondents. Data was gathered through unstructured interviews. Gathered data was not subjected to applied statistics. |
| Dilshad et al. [ | 66 | No | Yes | Yes | District Sargodha | Punjabi | Traditional veterinary healers | Information was collected using rapid and participatory rural appraisal techniques through interviews and focus group discussions. Data was not subjected to applied statistics. |
| Dilshad et al. [ | 25 | No | Yes | Yes | District Sargodha | Not mentioned | Traditional healers | Information was collected using a well-structured questionnaire, open ended interviews and guided dialogue techniques. Data was not subjected to analysis using any ethnobotanical index. |
| Farooq et al. [ | 18 | Yes | Yes | Yes | Cholistan Desert | Saraiki | Traditional healers and herdsmen (males) | Rapid rural appraisal approach was adopted. Data was gathered using a well-structured questionnaire and through open-ended interviews and guided dialogue techniques. Data was not subjected to applied statistics. |
| Harun et al. [ | 53 | Yes | Yes | Yes | Kasur, Faisalabad, Vehari, Sargodha, Gujrat, Narowal | Punjabi | Males and females, shepherds, and ruminant caretakers | Group discussions and individual ethnobotanical semi-structured interviewing techniques were used for data collection. Data was analyzed through relative frequency of citation (RFC), pair wise comparison method (PC), cluster analysis and descriptive statistics. |
| Hussain et al. [ | 41 | Yes | Yes | Yes | District Sahiwal | Punjabi and Saraiki | Traditional veterinary healers | Participatory rural appraisal approach for data collection using a well-structured questionnaire. Information was collected through interviews and focus group discussions. No ethnobotanical indices were used to analyze the data. |
| Islam et al. [ | 30 | No | Yes | No | Mansehra | Hindko, Gurjar, Pashto | Local people | Data was gathered through questionnaires and interviews but lacked useful information on the type of interview and questionnaire. Data was not subjected to analysis using any ethnobotanical index. |
| Khan & Hanif [ | 54 | Yes | Yes | Yes | District Bhimber, Azad Kashmir | Not mentioned | Healers and male informants, shepherds, farmers, and herbal sellers | Data was gathered through interviews but lacked useful information on the type of interview. Data was not subjected to analysis using any ethnobotanical index. |
| Khan et al. [ | 83 | No | Yes | Yes | District Peshawar | Pashto | Local healers | Data was gathered through a questionnaire and interviews but lacked useful information on the type of interview and questionnaire. Data was not subjected to analysis using any ethnobotanical index. |
| Khan et al. [ | 35 | no | Yes | Yes | Cholistan Desert | Not mentioned | Local pastoralists, veterinary practitioners, and quacks | Data was collected through open-ended interviews and guided dialogue techniques. Data was not subjected to analysis using any ethnobotanical index. |
| Khan et al. [ | 19 | Yes | Yes | Yes | Poonch Valley, Azad Kashmir | Not mentioned | Local men and women | Data was gathered through interviews but lacked useful information on the type of interview. Data was not subjected to analysis using any ethnobotanical index. |
| Khan et al. [ | 13 | No | Yes | No | Deosai Plateau | Shina | Local experts (both men and women) | Data and related information were collected through semi-structured questionnaires. Data was analyzed using use value (UV) and relative citation frequency (RFCs). |
| Khattak et al. [ | 46 | No | Yes | Yes | Karak District | Pashto | Elders (male and females) | Data was gathered through semi-structured questionnaires. The data obtained were quantitatively analyzed using use value (UV). |
| Khuroo et al. [ | 24 | No | Yes | Yes | Kashmir Himalaya | Not mentioned | Traditional healers | Data was gathered through interviews but lacked useful information on the type of interview. Data was not subjected to analysis using any ethnobotanical index. |
| Mirani et al. [ | 22 | No | Yes | Yes | Tharparkar | Not mentioned | Farmers | Data was collected through semi-structured open-ended interviews, observations, focus group discussions through participatory rural appraisal (PRA). Data was not subjected to analysis using any ethnobotanical index. |
| Mirani et al. [ | 35 | No | Yes | Yes | Tharparkar | Not mentioned | Cattle farmers | Data was collected through semi-structured open-ended interviews, observations, focus group discussions through participatory rural appraisal (PRA). Data was not subjected to analysis using any ethnobotanical index. |
| Muhammad et al. [ | 22 | No | Yes | Yes | Faisalabad | Not mentioned | Owners of pneumatic-cart pulling camels | Data was collected through a questionnaire but lacked useful information on its nature. Data was not subjected to analysis using any ethnobotanical index. |
| Mussarat et al. [ | 43 | Yes | Yes | Yes | Indus River | Saraiki | Community members (male and female) | Semi-structured questionnaires were used for data collection. Informant consensus and fidelity level as well as direct matrix ranking were used to analyze the data. |
| Raza et al. [ | 64 | Yes | Yes | Yes | Cholistan Desert | Saraiki | Livestock farmers and livestock healers | Structured questionnaire was used to collect data. Data was not subjected to analysis using any ethnobotanical index. |
| Raziq et al. [ | 8 | No | Yes | Yes | Sulaiman Mountain | Not mentioned | Camel healers and healers | Data was collected through interviews but lacked useful information on its nature. Data was not subjected to analysis using any ethnobotanical index. |
| Shah et al. [ | 54 | Yes | Yes | Yes | District Abbottabad | Not mentioned | Traditional healers, women, and herdsmen | Data was collected through interviews but lacked useful information on its nature. Data was not subjected to analysis using any ethnobotanical index. |
| Sher et al. [ | 29 | No | Yes | Yes | District Swat | Pashto | Males | Semi-structured questionnaire was used to collect the data. Data was not analyzed using any ethnobotanical index. |
| Sindhu et al. [ | 35 | No | Yes | Yes | District Mansehra | Not mentioned | Veterinarians, local healers, and farmers | Data was collected through interviews but lacked useful information on its nature. Data was not subjected to analysis using any ethnobotanical index. |
| Sindhu et al. [ | 35 | No | Yes | Yes | District Jhang | Urdu | Veterinarians and local communities | Data was collected through interviews but lacked useful information on its nature. Data was not subjected to analysis using any ethnobotanical index. |
| Tariq et al. [ | 41 | Yes | Yes | Yes | Kohat | Hindko | Local farmers and nomadic people | Semi-structured questionnaires were used for data collection. Informant consensus and fidelity level were used to analyze the data. |
| Tariq et al. [ | 24 | No | Yes | Yes | Hangu region | Pashto | Farmers and migrants (Afghan refugees) | Data was collected through semi-structured questionnaires and analyzed through informant consensus and fidelity level. |
| ul Islam et al. [ | 28 | No | Yes | Yes | Malakand Valley | Not mentioned | Local communities men and women | Data was collected through semi-structured questionnaires and analyzed through direct matrix ranking (DMR). |
| Ullah et al. [ | 60 | No | Yes | No | District Charsadda | Pashto | Local peoples including farmers | The methodological framework is ambiguous with no clear indication of used questionnaires or interviews. Data was not subjected to analysis using any ethnobotanical index. |
| Yousafzai et al. [ | 49 | No | Yes | Yes | Marghazar Valley, District Swat | Not mentioned | Males and females | The methodological framework is ambiguous with no clear indication of used questionnaires or interviews. Data was not subjected to analysis using any ethnobotanical index. |
Fig. 1Overview of the most important botanical families used in the ethnoveterinary practices of Pakistan (number of recorded plant species)
Preparations of the ethnoveterinary plant remedies of Pakistan
| Preparation | Number of remedies |
|---|---|
| Ash | 15 |
| Juice | 64 |
| Concoction | 9 |
| Decoction | 443 |
| Extract | 47 |
| Fodder | 388 |
| Gum | 3 |
| Infusion | 50 |
| Latex | 8 |
| Oil | 157 |
| Paste | 65 |
| Poultice | 13 |
| Powder | 730 |
| Resin | 6 |
| Smoke | 18 |
Fig. 2Most reported animal diseases/use categories in the Pakistani herbal ethnoveterinary practices
Use values of the botanical families reported in ethnoveterinary herbal practices in Pakistan
| Botanical family | Number of recorded species | URs per family | Number of informants per family | UVf |
|---|---|---|---|---|
| Acanthaceae | 2 | 9 | 7 | 1.29 |
| Acoraceae | 1 | 8 | 3 | 2.67 |
| Agaricaceae | 1 | 2 | 2 | 1.00 |
| Aizoaceae | 2 | 2 | 2 | 1.00 |
| Amaranthaceae | 12 | 40 | 13 | 3.08 |
| Amaryllidaceae | 4 | 78 | 24 | 3.25 |
| Anacardiaceae | 2 | 9 | 6 | 1.50 |
| Apiaceae | 18 | 165 | 26 | 6.35 |
| Apocynaceae | 11 | 55 | 17 | 3.24 |
| Araceae | 2 | 5 | 3 | 1.67 |
| Araliaceae | 1 | 2 | 2 | 1.00 |
| Arecaceae | 4 | 16 | 7 | 2.29 |
| Asparagaceae | 5 | 7 | 5 | 1.40 |
| Asteraceae | 32 | 107 | 25 | 4.28 |
| Balsaminaceae | 1 | 2 | 1 | 2.00 |
| Berberidaceae | 5 | 33 | 11 | 3.00 |
| Betulaceae | 2 | 3 | 2 | 1.50 |
| Bignoniaceae | 1 | 1 | 1 | 1.00 |
| Bixaceae | 1 | 1 | 1 | 1.00 |
| Boraginaceae | 7 | 21 | 9 | 2.33 |
| Brassicaceae | 7 | 137 | 24 | 5.71 |
| Burseraceae | 1 | 2 | 2 | 1.00 |
| Buxaceae | 1 | 1 | 1 | 1.00 |
| Cactaceae | 1 | 2 | 1 | 2.00 |
| Cannabaceae | 2 | 29 | 11 | 2.64 |
| Capparaceae | 3 | 26 | 13 | 2.00 |
| Caprifoliaceae | 4 | 8 | 5 | 1.60 |
| Caryophyllaceae | 3 | 3 | 3 | 1.00 |
| Celastraceae | 1 | 1 | 1 | 1.00 |
| Cleomaceae | 1 | 2 | 2 | 1.00 |
| Commelinaceae | 1 | 3 | 1 | 3.00 |
| Convolvulaceae | 3 | 24 | 12 | 2.00 |
| Crassulaceae | 2 | 6 | 3 | 2.00 |
| Cucurbitaceae | 7 | 56 | 18 | 3.11 |
| Cupressaceae | 1 | 1 | 1 | 1.00 |
| Cyperaceae | 2 | 5 | 3 | 1.67 |
| Dioscoreaceae | 1 | 1 | 1 | 1.00 |
| Ebenaceae | 1 | 1 | 1 | 1.00 |
| Elaeagnaceae | 1 | 2 | 1 | 2.00 |
| Ephedraceae | 1 | 1 | 1 | 1.00 |
| Ericaceae | 1 | 1 | 1 | 1.00 |
| Euphorbiaceae | 10 | 52 | 20 | 2.60 |
| Fabaceae | 29 | 127 | 27 | 4.70 |
| Fagaceae | 4 | 5 | 4 | 1.25 |
| Gentianaceae | 4 | 6 | 4 | 1.5 |
| Geraniaceae | 1 | 4 | 3 | 1.33 |
| Gisekiaceae | 1 | 1 | 1 | 1.00 |
| Grossulariaceae | 1 | 2 | 1 | 2.00 |
| Hypericaceae | 1 | 2 | 2 | 1.00 |
| Iridaceae | 1 | 1 | 1 | 1.00 |
| Juglandaceae | 1 | 4 | 3 | 1.33 |
| Lamiaceae | 22 | 120 | 25 | 4.80 |
| Lauraceae | 3 | 6 | 4 | 1.50 |
| Liliaceae | 2 | 1 | 1 | 1.00 |
| Linaceae | 1 | 10 | 5 | 2.00 |
| Lythraceae | 4 | 34 | 15 | 2.27 |
| Malvaceae | 15 | 32 | 12 | 2.67 |
| Meliaceae | 3 | 64 | 22 | 2.91 |
| Menispermaceae | 4 | 7 | 4 | 1.75 |
| Molluginaceae | 1 | 1 | 1 | 1.00 |
| Moraceae | 8 | 32 | 10 | 3.20 |
| Musaceae | 1 | 8 | 5 | 1.60 |
| Myristicaceae | 1 | 2 | 2 | 1.00 |
| Myrtaceae | 7 | 16 | 9 | 1.78 |
| Nitrariaceae | 1 | 19 | 9 | 2.11 |
| Nyctaginaceae | 3 | 6 | 4 | 1.50 |
| Oleaceae | 3 | 15 | 6 | 2.50 |
| Orobanchaceae | 1 | 1 | 1 | 1.00 |
| Paeoniaceae | 1 | 8 | 5 | 1.60 |
| Papaveraceae | 4 | 20 | 10 | 2.00 |
| Pedaliaceae | 2 | 8 | 5 | 1.60 |
| Phyllanthaceae | 4 | 11 | 3 | 3.67 |
| Phytolaccaceae | 1 | 1 | 1 | 1.00 |
| Pinaceae | 4 | 60 | 8 | 7.50 |
| Piperaceae | 2 | 18 | 9 | 2.00 |
| Plantaginaceae | 5 | 14 | 7 | 2.00 |
| Platanaceae | 1 | 2 | 2 | 1.00 |
| Poaceae | 41 | 144 | 24 | 6.00 |
| Polygonaceae | 14 | 63 | 17 | 3.7 |
| Portulacaceae | 1 | 1 | 1 | 1.00 |
| Primulaceae | 5 | 7 | 6 | 1.17 |
| Pteridaceae | 2 | 2 | 2 | 1.00 |
| Putranjivaceae | 1 | 1 | 1 | 1.00 |
| Ranunculaceae | 13 | 33 | 13 | 2.53 |
| Rhamnaceae | 4 | 24 | 12 | 2.00 |
| Rosaceae | 13 | 52 | 18 | 2.88 |
| Rubiaceae | 1 | 2 | 1 | 2.00 |
| Rutaceae | 6 | 42 | 20 | 2.10 |
| Salicaceae | 5 | 17 | 6 | 2.83 |
| Salvadoraceae | 2 | 5 | 4 | 1.25 |
| Sapindaceae | 2 | 15 | 6 | 2.50 |
| Sapotaceae | 1 | 2 | 2 | 1.00 |
| Saxifragaceae | 2 | 17 | 6 | 2.83 |
| Scrophulariaceae | 2 | 8 | 5 | 1.60 |
| Simaroubaceae | 2 | 6 | 4 | 1.50 |
| Solanaceae | 15 | 138 | 26 | 5.31 |
| Tamaricaceae | 1 | 12 | 8 | 1.50 |
| Theaceae | 1 | 19 | 8 | 2.38 |
| Thymelaeaceae | 4 | 17 | 6 | 2.83 |
| Urticaceae | 2 | 2 | 2 | 1.00 |
| Verbenaceae | 1 | 1 | 1 | 1.00 |
| Violaceae | 3 | 9 | 3 | 3.00 |
| Vitaceae | 1 | 3 | 3 | 1.00 |
| Xanthorrhoeaceae | 2 | 13 | 8 | 1.63 |
| Zingiberaceae | 5 | 65 | 17 | 3.82 |
| Zygophyllaceae | 5 | 19 | 8 | 2.38 |
Fig. 3Venn diagrams showing the comparison of ethnoveterinary plants and ethnoveterinary plant use reports between Pakistani Pathans and non-Pathans
Fig. 4Venn diagrams showing the comparison of aethnoveterinary plants and bethnoveterinary plant Use Reports of mountain and plain areas and Pathan and non-Pathan groups in Pakistan. Venn diagram B refers only to 59 taxa used by all three clusters presented in Venn diagram A