Homeopathy 2026; 115(02): 057-059
DOI: 10.1055/a-2813-7744

Authors Author Affiliations

Lex Rutten 

1   Independent Researcher, Breda, The Netherlands

José E. Eizayaga

2   Department of Homeopathy, Maimonides University, Buenos Aires, Argentina

Raj K. Manchanda

3   Nehru Homoeopathic Medical College and Hospital, Delhi, India

Anjali Miglani

4   Directorate of AYUSH, Health and Family Welfare Department, Delhi, India

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The recent coronavirus disease 2019 (COVID-19) pandemic demonstrated how scientists can have opposite opinions. Politicians can find science-based motivations by endorsing a wide variety of solutions for a new illness. Homeopathy could not convince politicians and scientists of its efficacy, despite a respectable number of randomised controlled trials (RCTs) with unexpected results.[1] [2] However, for homeopathic doctors in real-life clinical practice situations, the questions are pragmatic, such as ‘Will this homeopathic medicine work for this patient?’ or ‘Does Gelsemium work if the patient has less thirst than usual?’. Are these scientific questions, and who answers them and how? The COVID-19 pandemic offered an opportunity to explore the use of homeopathy in a new medical problem of public health importance.

Publication History

Article published online:
27 April 2026

© 2026. Faculty of Homeopathy. This article is published by Thieme.

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  References 1 Linde K, Clausius N, Ramirez G. et al. Are the clinical effects of homeopathy placebo effects? A meta-analysis of placebo-controlled trials. Lancet 1997; 350: 834-843 2 Kleijnen J, Knipschild P, ter Riet G. Clinical trials of homoeopathy. BMJ 1991; 302: 316-323 3 Vandenbroucke JP, de Craen AJ. Alternative medicine: a “mirror image” for scientific reasoning in conventional medicine. Ann Intern Med 2001; 135: 507-513 4 Shang A, Huwiler-Müntener K, Nartey L. et al. Are the clinical effects of homoeopathy placebo effects? Comparative study of placebo-controlled trials of homoeopathy and allopathy. Lancet 2005; 366: 726-732 5 Ioannidis JPA. Why most published research findings are false. PLoS Med 2005; 2: e124 6 Lytsy P. Creating falseness – How to establish statistical evidence of the untrue. J Eval Clin Pract 2017; 23: 923-927 7 Popper K. The Logic of Scientific Discovery. Basic Books; 1959 8 Greenhalgh T, Howick J, Maskrey N. Evidence Based Medicine Renaissance Group. Evidence based medicine: a movement in crisis?. BMJ 2014; 348: g3725 9 Rutten L, Smedley T, Ives G. et al. Data collection during the COVID-19 pandemic: learning from experience, resulting in a Bayesian repertory. Homeopathy 2021; 110: 94-101 10 Stolper CF, Rutten ALB, Lugten RFG, Barthels RJ. Improving homeopathic prescribing by applying epidemiological techniques: the role of likelihood ratio. Homeopathy 2002; 91: 230-238 11 Gill CJ, Sabin L, Schmid CH. Why clinicians are natural Bayesians. BMJ 2005; 330: 1080-1083 12 Riley RD, Hayden JA, Steyerberg EW. et al. Prognosis research strategy (PROGRESS) 2: prognostic factor research. PLoS Med 2013; 346: e5595 13 Schäferkordt R. Data mining in homeopathic materia medica. Homeopathy 2026; 115: 111-118 14 Miglani A, Manchanda RK, Rutten L. Prognostic factor research in homeopathy: overview of the method, with insights from condition-confined studies. Homeopathy 2026; 115: 60-70 15 Rutten L, Schäferkordt R, Eizayaga JE. Updating the homeopathic algorithms: handling confirmation bias. Homeopathy 2026; 115: 101-110 16 Rutten L. The scientific doctor. Homeopathy 2025; 114: 280-282 17 Mohanta A, Sardar N, Chakraborty K. et al. Estimation of the likelihood ratio of different symptoms for six homeopathic medicines: prognostic factor research. Homeopathy 2025; 114: 183-194 18 Roy U, Pal RK, Saha S. et al. Assessment of likelihood ratio of the medicines enlisted under the rubric “Pain, Knee, Motion, Amelioration” in the extremities chapter of Kent's Repertory. Homeopathy 2026; 115: 24-32 19 Rutten L, Eizayaga JE, Kaur H. et al. How to assess variation in homeopathic prognostic factor research?. Homeopathy 2026; 115: 33-45 20 Kaur H, Rutten L, Eizayaga JE. et al. Enhancing homeopathic prescribing for chronic cough by classifying the reliability of polar symptoms. Homeopathy 2025; 21 Eizayaga JE, Rutten L. The challenge of building a Bayesian homeopathic materia medica and repertory from best cases' data. Homeopathy 2025; 22 Kahneman D. Thinking, Fast and Slow. 1st ed. London: Penguin Books; 2011 23 Sultana Q, Pal RK, Saha S. et al. Statistical appraisal of the medicines under the rubric “sympathetic” in homeopathic repertories using likelihood ratio. Homeopathy : In press