So, if you stumble onto something that you think has fixed / cured a health issue for you might want to visit the website and see what they have found out and then didn’t tell us. You don’t hate big pharma near enough.
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:
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:
Nano Formulations: Approximately 50-70% bioavailability (Amazon Link)
Silipide Phytosome Formulations: Approximately 20-40% bioavailability
Liposomal Formulations: Approximately 30-50% bioavailability
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.
One way to check on natural cures is to check it out against the nih pubmed, our government knows about the cures. Example 1:this article talks about the inverse relationship of selenium and incidence of hep C https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326970/ Example 2: this article talks about the therapeutic effects ALA on many viruses https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389191/ Example 3: this article looks at silymarin effects on hep C https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828344/
So, if you stumble onto something that you think has fixed / cured a health issue for you might want to visit the website and see what they have found out and then didn’t tell us. You don’t hate big pharma near enough.
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.