1.An initial report on the efficacy of a millesimal potency Arsenicum Album LM 0/3 in ameliorating arsenic toxicity in humans living in a high-risk arsenic village.
Khuda-Bukhsh, Anisur Rahman ; Banerjee, Antara ; Biswas, Surjyo Jyoti ; Karmakar, Susanta Roy ; Banerjee, Pathikrit ; Pathak, Surajit ; Guha, Bibhas ; Haque, Saiful ; Das, Debarsi ; De, Arnab ; Das, Durba ; Boujedaini, Naoual
Journal of Integrative Medicine 2011;9(6):596-604
Background: Millions of people are at risk of groundwater arsenic contamination, and there is no known remedy that can effectively remove the symptoms of prolonged arsenic poisoning. A potentized homeopathic drug, Arsenicum Album LM 0/3 (Ars Alb LM 0/3), is claimed in homeopathic literature to have the ability to treat symptoms similar to that of arsenic poisoning. Objective: This study examines whether Ars Alb LM 0/3 could provide some degree of amelioration for the victims living in an arsenic-affected village where no arsenic-free drinking water is available. Design, setting, participants and interventions: This study was carried out on volunteers living in an arsenic-affected village where no arsenic-free drinking water is available. Twenty-eight volunteers from the village of Dasdiya, in Haringhata block under Nadia District, West Bengal, India, an arsenic-contaminated village where wells contain 55 to 95 μg/L arsenic, were selected to undertake a double-blind and placebo-controlled trial. The subjects provided samples of blood and urine before and after 2 months of taking either "verum" or "placebo". Another 18 subjects living in an arsenic-free village, served as the negative controls. Main outcome measures: Samples of blood and urine from the subjects were assayed for arsenic content, according to various toxicity biomarkers and pathophysiological parameters. Results: Out of the original 28 subjects, only 14 subjects provided samples while the other 14 dropped out. There were elevated levels of arsenic in the blood and urine, alkaline and acid phosphatases, lipid peroxidation, and glutathione activities and increased blood glucose, triacylglycerol, cholesterol, and low-density lipoprotein cholesterol contents, whereas there were decreased levels of aspartate and alanine aminotransferases, gamma glutamyl transferase, glucose-6-phosphate dehydrogenase contents, high-density lipoprotein cholesterol and packed cell volume in the subjects. After 2 months of homeopathic remedy administration, the verum-fed subjects showed positive modulations within these parameters with slight lowering of matrix metalloproteinase activity as compared with the placebo group. Conclusion: Ars Alb LM 0/3 shows potential for use in high-risk arsenic villages as an interim treatment for amelioration of arsenic toxicity until more extensive medical treatment and facilities can be provided to the numerous victims of arsenic poisoning.
2.Malaria in India: A Predictive Study
Surajit Das ; Tapash Ranjan Saha ; Sandeep Poddar ; Sabyasachi Das
Malaysian Journal of Medicine and Health Sciences 2020;16(Supp 10, November):25-29
Introduction: Malaria is devastating infectious disease not only India but also throughout the globe due to its high morbidity and mortality factor for last few centuries. From 19th and early 20th centuries, almost a quarter of the Indian populations were severely suffering from malaria. The economic loss due to increased mortality in malaria was estimated 10 million rupees per year in 1935. According to the World Malaria Report of 2017, malaria incidence accounted for 58% of cases in India. The objective of this study is to prediction of “annual” malaria incidences in India, depending on the basis of last 22 years national malaria epidemiology data. Methods: This study uses data from the official website of the National Program for the Control of Vector borne Diseases (NVBDCP) (http://nvbdcp. gov.in/) from 1995 to 2016. For creating a forecasting tool on Malaria surveillance in India, Econometric forecasting model (ARIMA Model ((0,1,1) (1,0,0) 12)) was used. Results: ARIMA statistical model ((0,1,1) (1,0,0) 12) found to be highly effective and significant (P < 0.05) in prediction of future epidemiological surveillance of malaria in India. ARIMA statistical model could be successfully use in prediction of annual malaria incidences in India after adjusting different highly contributing environmental and geographical factors, such as climate change, temperature, rainfall, and relative humidity. Conclusion: The historical forecast of the occurrence of malaria in India will allow the government to improve planning, control and prevention through public health interventions. In addition, the pharmaceutical industry will assist medical members in pre-treatment and drug interventions to respond to the increased or decreased occurrence of malaria.