ArticleJournal of Ayurveda and integrative medicine
Impact of AYUSH 64 as an adjunctive to standard of care in mild COVID 19 - An open-label randomized controlled pilot study.
Article in Journal of Ayurveda and integrative medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Status of evidence on efficacy and safety of Indian traditional medicine (Ayush) for COVID-19: a qualitative review and evidence map synthesis.Systematic reviews · 2026Review
- Evaluation of Ayush-64 (a Polyherbal Formulation) and Its Ingredients in the Syrian Hamster Model for SARS-CoV-2 Infection Reveals the Preventative Potential ofPharmaceuticals (Basel, Switzerland) · 2023Article
- Article
- The Efficacy of Herbs as Complementary and Alternative Therapy in Recovery and Clinical Outcome Among People with COVID-19: A Systematic Review, Meta-Analysis, and Meta-Regression.Therapeutics and clinical risk management · 2023Review
- Role of herbal medicines in the management of patients with COVID-19: A systematic review and meta-analysis of randomized controlled trials.Journal of traditional and complementary medicine · 2022Review
- Disease Characteristics, Care-Seeking Behavior, and Outcomes Associated With the Use of AYUSH-64 in COVID-19 Patients in Home Isolation in India: A Community-Based Cross-Sectional Analysis.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Ayurveda herbal formulation AYUSH-64, proven to treat malaria and influenza-like illness in india was repurposed for COVID-19 patients considering preliminary evidances, however, scientific data was not available. Aim: To evaluate the preliminary efficacy and safety of AYUSH 64 as an add-on to standard of care in mild COVID19 patients. Materials and methods: A single centre, randomized, open-labeled, controlled, pilot study were conducted on mild COVID 19 confirmed patients. Patients allotted in interventional group (n = 41) recieved AYUSH 64, 3 gm per day in three divided dose for 14 days as an adjuvant to standard of care (SOC) whereas control group received SOC (n = 39) alone. Outcomes were reduction in WHO ordinal scale for clinical improvement, all-cause mortality, incidence of COVID19 symptoms among asymptomatic patients at baseline, use for oxygen therapy, use for a mechanical ventilator, the total duration of symptomatic phase and adverse events. Results: Mean score of WHO ordinal scale was reduced as time lapse in both the groups (f (1) = 20.5, Conclusion: The findings of this pilot study show that an integrated approach of AYUSH 64 with SOC provide early trends of benefit by reduction in disease progression and in total symptom duration. However, its effects remains inconclusive on outcomes such as all cause mortality, use of oxygen therapy, invasive ventilator due to sparse outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.