巴基斯坦不同地理区域所选单子叶分类群的民族医学相关性

Q1 Social Sciences Ethnobotany Research and Applications Pub Date : 2023-09-15 DOI:10.32859/era.26.35.1-17
Sartaj Bahadur, Mushtaq Ahmad, Muhammad Zafar, Najla Begum, Muhammad Yaseen, Maroof Ali, Tanweer Kumar
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引用次数: 0

摘要

背景:巴基斯坦具有独特的单子叶植物区系生物多样性,由于其独特的气候条件,该地区分布着大量的药用植物。民族植物学在理解生物多样性与社会和文化系统之间的动态关系方面起着至关重要的作用。然而,关于巴基斯坦单子叶植物分类群的民族医学意义的研究非常有限。方法:对所选药用单子叶植物分类群进行文献记录。民族医学数据是通过对该地区的当地男性、女性和草药医生进行半结构化访谈获得的。采用使用价值(UV)、被引频次(FC)、相对被引频次(RFC)和信息同意因子(ICF)等不同定量指标对民族医药资料进行分析。结果:本研究从巴基斯坦不同地理区域采集到7科药用单子叶。据报道,Amaryllidaceae是利用数量较多的物种。最常用的部分是鳞茎,其次是叶子和根。最常见的制备方法是煎煮和原始形式。报告了九种不同的疾病类别,包括呼吸系统疾病、解毒剂、妇科问题、泌尿生殖系统问题、消化系统疾病、腺体疾病、血液循环系统疾病、皮肤病问题和肌肉骨骼疾病。其中呼吸系统疾病的ICF值较高。结论:本研究表明所选单子叶属植物可作为治疗多种疾病的民间药材。药用单子叶具有很高的使用价值,有助于鉴定具有生物活性的植物化学化合物,并为各种疾病的新药合成提供必要条件。关键词:单子叶植物;药用价值;药用价值;当地社区;民族植物学的指数。
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Ethnomedicinal relevance of selected monocot taxa from different geographical regions of Pakistan
Background: Pakistan has a unique biodiversity of monocotyledon flora and due to its unique climatic condition a huge number of medicinal plants are distributed in the area. Ethnobotany plays a crucial role in understanding the dynamic relationships between biological diversity and social and cultural systems. However, studies about the ethnomedicinal significance of monocot taxa in Pakistan are very limited. Methods: This study documented the indigenous uses of selected medicinal monocot taxa. The ethnomedicinal data was obtained through semi-structured interviews with the local men, women and herbalists of the area. The ethnomedicinal data were analyzed by different quantitative indices i.e. Use value (UV), frequency of citation (FC), relative frequency of citation (RFC), and information consent factor (ICF). Results: In the present study, selected medicinal monocots belonging to seven families were collected from different geographical regions of Pakistan. Family Amaryllidaceae was reported as higher number of used species. Most often used parts were noted as bulbs followed by leaves and roots. The most frequent mode of preparation method was found as a decoction and raw form. Nine different disease categories were reported including respiratory diseases, antidote, gynecological problems, urogenital problems, digestive disorders, glandular disorders, blood circularity system disorders, dermatological problems, and musculoskeletal disorders. Among them, the respiratory disorders show the high value of ICF. Conclusion: The study document showed that selected monocot taxa were used as folk medicine against various diseases. Medicinal monocots having high used value help to identify a phytochemical compound that is bioactive and indispensable for the synthesis of novel drugs for various diseases. Keywords: Monocotyledons taxa, medicinal value, medicinal usage; local communities; ethnobotanical indices.
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来源期刊
Ethnobotany Research and Applications
Ethnobotany Research and Applications Social Sciences-Cultural Studies
CiteScore
3.40
自引率
0.00%
发文量
68
期刊介绍: Ethnobotany Research & Applications is an electronic, peer-reviewed, multi-disciplinary and multi-lingual journal devoted to the rapid dissemination of current research. Manuscript submission, peer review, and publication are all handled on the Internet. The journal is published by the Department of Ethnobotany, Institute of Botany, Ilia State University, Tbilisi, Georgia. The journal seeks manuscripts that are novel, integrative and written in ways that are accessible to a wide audience. This includes an array of disciplines (biological and social sciences) concerned particularly with theoretical questions that lead to practical applications. Articles can also be based on the perspectives of cultural practitioners, poets and others with insights into plants, people and applied research. Database papers, Ethnobiological inventories, Photo essays, Methodology reviews, Education studies and Theoretical discussions are also published. The journal publishes original research that is described in indigenous languages. We also encourage papers that make use of the unique opportunities of an E-journal: color illustrations, animated model output, down-loadable models and data sets.
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