Product Images Simvastatin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 12 images provide visual information about the product associated with Simvastatin NDC 50090-6459 by A-s Medication Solutions, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
This text discusses the results of a chemical assay related to CYP3A4 inhibitors, such as ketoconazole and erythromycin, and their effect on simvastatin acid. It also mentions the potential impact of double and single-strength grapefruit juice on simvastatin pharmacokinetics, but notes that the specific effect of grapefruit juice has not been studied. Results with propranolol are not included.*
This is a product description for a medication called ShvasTATIN, which comes in a package with 30 tablets. The product code is 6i50-0 and the brand may be represented by the letters SHG. The first line of text has a non-English character and may not be useful for understanding the description.*
The text describes data in a table that shows adverse reactions reported by patients using Simvastatin and are greater than those who used Placebo. The table includes the number of patients in each group (N=2223), and the percentage of patients that reported adverse reactions, grouped by body system or disorder. Some of the most commonly reported adverse reactions for Simvastatin users were abdominal pain, atrial fibrillation, eczema, and myalgia.*
This is a drug interaction table listing drugs associated with increased risk of myopathy/rhabdomyolysis. It includes prescribing recommendations such as avoiding the use of certain drugs or adjusting dosage for others, particularly in combination. The table includes several specific drugs and drug classes. Not-readable text is present at the end.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.