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Alopecia Areata (AA), an autoimmune disorder characterized by localized, patchy hair loss, poses both therapeutic and psychological challenges due to its unpredictable course and lack of definitive cure in modern medicine. This case study evaluates the efficacy of Shamana (palliative) and Shodhana (purificatory) Ayurvedic therapies in the management of Indralupta (Alopecia Areata). A 45-year-old female patient presenting with hair fall, scalp itching, insomnia, and stress underwent a 15-day regimen comprising internal medications such as Abhraloha, Arogyavardhini Vati, Guduchi, Amalaki, and Gandhak Rasayan, combined with Panchakarma procedures including Shiro Abhyanga, Nasya, and Pradhamana. External therapies like Gunja Beej Lepa and Kesh Dhawan further supported follicular stimulation. Significant improvement was observed in hair regrowth, scalp health, and overall well-being, without adverse effects. The therapeutic rationale emphasizes Srotoshodhana (channel purification), Rasayana (rejuvenation), and Dosha Samata (humoral balance) for restoring systemic and local follicular homeostasis. This integrative Ayurvedic approach demonstrates potential as a safe and holistic alternative for managing autoimmune dermatological disorders like Alopecia Areata. Further controlled clinical studies are warranted to validate these findings and establish standardized protocols for Indralupta management.
"Clinical Evaluation of Shamana and Shodhana Therapy in the Management of Indralupta (Alopecia Areata): A Case Study", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a502-a509, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601072.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator