Evidence Hub

Beyond Conventional Therapy: A Comprehensive Review of Herbal, Traditional, and Emerging Interventions for Polycystic Ovary Syndrome

Bashir S, Shah IM, Javeed S, Rafiquee A, Mir B, Hassan Mir R, Geer MI, Ganie MA

Current molecular medicine, 2026

Abstract

Polycystic ovary syndrome (PCOS) is the most common and multifactorial endocrine disorder that leads to significant changes in the reproductive, metabolic, and psychological domains of women's health in their reproductive years. In addition, the conventional therapies (lifestyle modification, metformin, oral contraceptives, and ovulation-inducing agents) that are the mainstay of management of the syndrome may still not be able to fully address the diverse pathophysiology of PCOS as well as the long-term risks associated with it. This narrative review highlights clinical and mechanistic data from studies on various complementary and alternative medicine (CAM) modalities as first-line treatments for PCOS, in addition to conventional therapy. Correspondingly, herbal and botanical agents (berberine, cinnamon, licorice, Vitex agnus-castus, curcumin, and epigallocatechin gallate) modulate insulin signalling, androgen synthesis, inflammatory pathways, and oxidative stress, with initial clinical trials reporting improvements in metabolism and hormones to a similar extent as standard therapies in selected populations. Traditional Chinese Medicine (TCM), both multi-herb prescriptions and acupuncture, provides tailored formulas that might not only regulate ovulation and endocrine parameters but also lower metabolic indices, despite the high variability across studies. Stress reduction, physical fitness, and the quality of life are among the achievements of mind-body interventions…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free