DOI: 10.1177/27683605261461431 ISSN: 2768-3605

Ayurvedic Dravya-Based Herbal Products for Cognition, Stress, Sleep, and Psychiatric Symptoms: A Node-Resolved Systematic Review and Meta-Analysis

Bernhard T. Baune, Mansi M. Patel, Manish V. Patel, Shivenarain N. Gupta

Background:

Ayurvedic dravya-based herbal products are increasingly studied for cognition, stress, sleep, and psychiatric symptoms, but synthesis is complicated by heterogeneous preparations, incomplete reporting of Rasapanchaka-relevant attributes, and ambiguous common-name labels.

Objectives:

To synthesize controlled human evidence on dravya-based herbal products for (A) cognition, (B) stress, sleep, and related well-being outcomes, and (C) psychiatric symptoms/disorders using a node-resolved framework.

Methods:

We conducted a PRISMA 2020-reported, node-resolved systematic review of controlled human studies evaluating a defined dravya node and at least one standardized mental-health instrument or cognitive test. PubMed/MEDLINE, the AYUSH Research Portal, and DHARA were searched from database inception to 4 January 2026; the evidence base was frozen on January 30, 2026, after deduplication, full-text retrieval, and manual reference-list screening. Interventions were mapped to node identifiers using botanical identity, part/material, and preparation; identity-uncertain labels were retained as separate strata.

Results:

Forty-nine controlled reports spanning 20 nodes were included. Evidence volume was concentrated in Bacopa monnieri (Brahmi) for cognition and Withania somnifera (Ashwagandha) for stress and sleep outcomes. Meta-analysis was feasible for three primary strata: W. somnifera (Ashwagandha) versus placebo on perceived stress and sleep quality, and curcumin versus placebo on depression severity. Reported adverse events were usually mild but inconsistently captured.

Conclusions:

Selected dravya nodes show potentially beneficial signals, but confidence in effect magnitude remains limited by heterogeneity, small-study effects, and reporting quality.

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