Publications by authors named "G S Lavekar"

Background: Anxiety scale based on Ayurveda would help Ayurveda physicians to measure and initiate appropriate treatment strategies.

Objectives: The objective of the study was to develop a clinical assessment scale for anxiety based on Ayurveda science.

Materials And Methods: Ayurveda assessment scale for anxiety (AAA) was developed and subjected to various psychometric evaluations.

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Introduction: Ayurveda (Indian-complimentary and alternative medicine) is still most sought after in India and has promising potential in management of Vishada [major depressive disorder (MDD)]. But, systematic research is lacking. In this study we evaluated of influence of ayurvedic treatment (Panchakarma and Ayushman-15) on psychopathology, heart rate variability (HRV) and endocrinal parameters in patients with major depression.

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Assam and Arunachal Pradesh have very rich tradition of herbal medicines used in the treatment of various ailments. Tribal communities practice different types of traditional healing practices. Enough documentation is available on the healing practices in other tribal communities except Mishing community of Assam and foot hill of East Siang district of Arunachal Pradesh hence the attempt was made for the same.

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Background: Studies on alternative medicines for generalized anxiety disorder (GAD) are few. Manasamitra Vataka (an Ayurveda preparation) is explored for its efficacy in patients with GAD with comorbid generalized social phobia.

Materials And Methods: Seventy-two (72) patients with GAD with comorbid social phobia meeting DSM IV TR criteria, and who were between the ages of 20 and 55 of either sex, participated in the study.

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Ayurveda, the traditional Indian medicine is one of the most ancient, yet living medicinal traditions. In the present work, we developed an in silico library of natural products from Ayurveda medicine, coupled with structural information, plant origin and traditional therapeutic use. Following this, we compared their structures with those of drugs from DrugBank and we constructed a structural similarity network.

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