Evidence map›Paper›PMID 41559816›Full record

ReviewSystematic reviews2026

Status of evidence on efficacy and safety of Indian traditional medicine (Ayush) for COVID-19: a qualitative review and evidence map synthesis.

Azeem Ahmad, Manohar S Gundeti, Meena R, Eugene Wilson, Malik Itrat, Ghazala Javed, Mohd Aleemuddin Quamri, Deepti Singh Chalia, Pooja Yadav, Athul T P and 6 more

Abstract readReview
In one paragraph

Review in Systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Azeem AhmadCCRAS, New Delhi, India.ORCID 0000-0003-1866-0050
Manohar S GundetiCCRAS-CARI, Mumbai, India.ORCID 0000-0001-7017-3191
Meena RCentral Council for Research in Siddha, Chennai, India.ORCID 0000-0001-8636-5294
Eugene WilsonCentral Council for Research in Siddha, Chennai, India.ORCID 0000-0001-5878-3085
Malik ItratNational Institute of Unani Medicine, Bengaluru, India.ORCID 0000-0001-5244-6643
Ghazala JavedCentral Council for Research in Unani Medicine, Ministry of Ayush, Bengaluru, India.ORCID 0000-0002-4298-0401
Mohd Aleemuddin QuamriNational Institute of Unani Medicine, Bengaluru, India.ORCID 0000-0002-2695-2582
Deepti Singh ChaliaMinistry of Ayush, Central Council for Research in Homeopathy, New Delhi, India.ORCID 0000-0002-0173-4220
Pooja YadavAll India Institute of Ayurveda, New Delhi, India.ORCID 0000-0003-3996-9882
Athul T PAll India Institute of Ayurveda, New Delhi, India.ORCID 0000-0002-7164-0481
Karthik K PAll India Institute of Ayurveda, New Delhi, India.ORCID 0000-0002-5540-7794
Anjana C SAll India Institute of Ayurveda, New Delhi, India.ORCID 0009-0008-7248-5867
Mythri H SNational Institute of Ayurveda, Panchkula, Haryana, India.ORCID 0000-0002-2586-9736
Aparna DileepNational Institute of Ayurveda, Panchkula, Haryana, India.ORCID 0000-0001-8696-2021
Shifa Shetty PAll India Institute of Ayurveda, New Delhi, India.ORCID 0000-0002-4762-5687
Galib RAll India Institute of Ayurveda, New Delhi, India. galib14@yahoo.co.in.ORCID 0000-0002-9517-5801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel coronavirus (COVID-19), caused by SARS-CoV-2, was first reported in Wuhan, China, in December 2019. Its rapid spread, high mutation rate, and challenges in containment led the WHO to declare it a global pandemic on March 11, 2020. Traditional medicine played a supportive role during the COVID-19 pandemic by offering immune-boosting and symptom-relieving remedies, especially in regions with limited access to conventional healthcare. Several countries, including India, have integrated traditional therapies with modern treatment protocols to enhance patient outcomes and reduce disease burden.

objectivesThis review aims to critically synthesize the existing evidence on the efficacy and safety of Ayush interventions in the management of COVID-19 in India. It seeks to qualitatively analyze published literature and clinical trial data, and to develop an evidence map categorizing interventions by type and associated clinical outcomes.

methodsA comprehensive literature search was conducted across seven electronic databases, including the National Repository on R&D Initiatives of the Ministry of Ayush, WHO COVID-19 dashboard for clinical trials, AYUSH Research Portal, PubMed, Cochrane Library, WHO ICTRP, and CTRI. Studies published between 2019 and June 2024 were considered. A total of 3626 records were identified (2572 from indexed databases and 1054 from trial registries). After removing 640 duplicates, 2986 studies were screened for title and abstract. Following exclusion of 802 records, full-text assessment was performed on the remaining studies. After screening, 304 studies were included in the final review (178 Ayurveda, 22 Siddha, 31 Homeopathy, 22 Unani, and 51 Yoga). Risk of bias was assessed using the ROB 2 and ROBINS-I tools. Data extraction and collation were performed in accordance with the PRISMA guidelines. The study protocol was registered in PROSPERO.

resultsA total of 304 studies were included, comprising 58 (19.1%) prophylaxis studies, 151 (49.7%) treatment studies, and 17 (5.6%) post-COVID rehabilitation studies across different Ayush systems. Ayurveda accounted for the largest proportion of publications (n = 178), followed by Yoga (n = 51). Among the randomized controlled trials, approximately half were assessed as having low-to-moderate risk of bias, whereas the remaining studies exhibited high or unclear risk of bias, primarily due to inadequate reporting of randomization procedures, allocation concealment, and blinding. Considerable methodological variability was observed across studies, including differences in intervention type, duration, outcome measures, and quality assessment scores.

conclusionWhile there is significant data on Ayush and COVID-19, current studies vary too widely to be definitive. Future research must prioritize rigorous scientific standards if these systems are to be effectively integrated into public health responses.

Indexed as

COVID-19COVID-19 Drug TreatmentMedicine, AyurvedicHumansIndiaSARS-CoV-2AyurvedaAyushCOVID-19Evidence mapHomeopathyIndian traditional medicineQualitative reviewRisk of biasSiddhaUnaniYoga

Identifiers

PMID41559816
PMCPMC13015143

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.