Abstract BACKGROUND: Leena Dosha is a fundamental concept in Ayurveda referring to the concealed state of Doshas in tissues, leading to latent or recurrent diseases. This dormancy arises from the incomplete Dosha elimination due to weak digestive fire and Ama accumulation. Despite its significance, Leena Dosha remains underexplored in contemporary healthcare. OBJECTIVE: To explore Leena Dosha , its mechanisms, and the role of Deepana and Pachana in preventing and managing diseases characterized by latency and recurrence, while drawing parallels with modern medical conditions. MATERIALS AND METHODS: Classical Ayurvedic texts including Charaka Samhita, Sushruta Samhita , and Ashtanga Hridaya were examined alongside a structured search combining MeSH terms for latent diseases with Ayurvedic terminology. Of the 24 articles screened, 14 were included based on relevance to latent pathogenesis and therapeutic correlation. RESULTS: Leena Dosha parallels modern latent infections, autoimmune disorders, cancer dormancy, and chronic inflammatory conditions. Ayurveda, provides a holistic approach and highlights Deepana and Pachana as key strategies for preventing and managing this pathological state. Deepana revitalizes digestive and cellular metabolism, preventing Ama formation and strengthening systemic resilience, while Pachana eliminates the existing Ama , addresses concealed Doshas , and reduces their pathological impact, together offering a comprehensive therapeutic strategy. CONCLUSION: Deepana and Pachana may provide a holistic approach in managing latent and recurrent diseases. Future research should focus on clinical validation, mechanistic insights and integration into modern medical practices. Bridging the Ayurveda concepts may offer holistic solutions to complex health challenges.
Building similarity graph...
Analyzing shared references across papers
Loading...
Neren Kandiyil Arun
M. S. Anagha
Prasanth Dharmarajan
Journal of Research in Ayurvedic Sciences
National Institute of Ayurveda
Building similarity graph...
Analyzing shared references across papers
Loading...
Arun et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69d895be6c1944d70ce06e08 — DOI: https://doi.org/10.4103/jras.jras_169_25