Product Images Pravastatin Sodium

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Pravastatin Sodium NDC 68462-198 by Glenmark Pharmaceuticals Inc., Usa, 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.

container label 10mg

container label 10mg

Pravastatin Sodium Tablets, USP containing 90 tablets with NDC 68462-195-90 and manufactured by Glenmark Pharmaceuticals. This medication is available only with a prescription. No other useful information could be extracted from the given text.*

container label 20mg

container label 20mg

container label 40mg

container label 40mg

This is a medication label for Pravastatin Sodium tablets, USP containing 40mg of the active ingredient. The medication is manufactured by Glenmark and comes in a bottle of 90 tablets. It is only available with a prescription.*

container label 80mg

container label 80mg

This is the product information for Pravastatin Sodium tablets made by Glenmark. It provides the National Drug Code (NDC) and states that it is a prescription drug. The rest of the text is not relevant and may be gibberish.*

img-1 - img 1

img-1 - img 1

The graph shows the proportion of subjects without coronary heart disease death or nonfatal myocardial infarction, with survival distributions and a Logrank p-value of 0.0001. The x-axis represents years since randomization, and the y-axis represents the proportion of subjects without the event, with a range from 0.92 to 0.98. There are two groups represented in the graph, one labeled "Placebo" and the other labeled "Pravastatin."*

structure - structure

structure - structure

The text seems to list some chemical formulas and a molecular weight. There is not enough context to provide a useful description.*

* 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.