The Hepatitis C Treatment Big Pharma Doesn't Want You to Know About: A Natural Cure Hidden in Plain Sight
The Hepatitis C Treatment Big Pharma Doesn't Want You to Know About: A Natural Cure Hidden in Plain Sight Hepatitis C, commonly understood to be caused by a silent yet deadly virus, has a natural and highly effective treatment, but remains overlooked becau...
It's commendable that you're taking the initiative to review published research. However, it's important to recognize that individual articles may carry inherent biases. The gold standard for evaluating research data is through meta-analyses. Here is a meta-analysis that evaluates the effects of silymarin on ALT levels in patients with HCV:
Unfortunately, the study found no significant difference in ALT levels between HCV patients treated with silymarin and those given a placebo.
To gain further insight, it may be useful to examine in vitro studies:
These publications suggest that the disparity between in vitro and in vivo results may be attributed to the low oral bioavailability of silymarin, which is estimated to be less than 5%, coupled with its hydrophobic nature:
Based on this data, while silymarin demonstrates antiviral activity in vitro, its low bioavailability significantly diminishes its effectiveness in vivo.
To enhance the efficacy of silymarin, various formulation strategies can be considered:
Let me know if you have any questions or need more information.
I was reading through the research that shows the data. It is my understanding that NIH only allows randomized, controlled, double blind trials. I am aware of the biases within the pharmaceutical companies and what they choose to test, for example, they will not use bio identical progesterone in trials, only progestin is used because progesterone can not be patented. Meta analysis is only as good as the data, and data is only as good as the experimental setup and the parameters being tested.