Product Images Lovastatin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Lovastatin NDC 63629-1178 by Bryant Ranch Prepack, 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.

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Lovastatin is a medication that comes in tablet form with each tablet containing 10 mg of the drug. The tablets are stored at a temperature range of 20°C to 25°C and should be kept out of reach of children. The medication should be dispensed in a tightly sealed container that is resistant to light and has a child-resistant closure. This medication is only available by prescription and is manufactured by the company NILD. The product information includes the NDC number and a reference to the USP.*

Structural Formula - lov00 0004 01

Structural Formula - lov00 0004 01

Table I - lov00 0004 02

Table I - lov00 0004 02

Figure 1 - lov00 0004 03

Figure 1 - lov00 0004 03

The text describes a figure labeled "Figure 1" that shows the proportion of participants without an acute major coronary event (primary endpoint) over the course of up to 4 years of follow-up.*

Table VII - lov00 0005 04

Table VII - lov00 0005 04

This document provides a list of drug interactions that increase the risk of myopathy/rhabdomyolysis. It includes prescription recommendations for various medications, particularly those that inhibit CYP3A4, such as ketoconazole and HIV protease inhibitors. Certain products containing cobicistat and some medications like gemfibrozil should be avoided with lovastatin. The document advises against exceeding daily doses of lovastatin when used with drugs like cyclosporine, danazol, diltiazem, and dronedarone. It also recommends avoiding grapefruit juice.*

* 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.