Product Images Lovastatin

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Product Label Images

The following 5 images provide visual information about the product associated with Lovastatin NDC 70518-2727 by Remedyrepack Inc., 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.

lovastatin - 65abb8c3 847f 4fb3 b8de 21888c01210b 01

lovastatin - 65abb8c3 847f 4fb3 b8de 21888c01210b 01

Figure 1 - 65abb8c3 847f 4fb3 b8de 21888c01210b 02

Figure 1 - 65abb8c3 847f 4fb3 b8de 21888c01210b 02

The text describes a figure showing the proportion of participants without an acute major coronary event, indicating an 87% risk reduction with a statistically significant result (p<0.009). The figure also includes two years of follow-up data.*

Lovastatin 10mg 70518 2727 01

Lovastatin 10mg 70518 2727 01

Lovastatin is a prescription medication that is repackaged by RemedyRepack Inc. It is manufactured by Lupin Ltd in India and is intended for use only under the direction of a physician. The medication comes in the form of tablets and should be kept out of the reach of children. The directions for use are included in the package insert. The medication should be stored at temperatures between 20-26°C (63-77°F), with excursions permitted to 15-30°C (59-86°F). The product's expiration date and lot number are also included.*

Lovastatin 10mg 70518 2727 02

Lovastatin 10mg 70518 2727 02

Lovastatin is a prescription medication used for managing high cholesterol levels. Its source NDC is 68180-0467-01, and its NDC # is 70518-2727-02. Lupin Ltd in GDA, India manufactures it, and RemedyRepack Inc repackages it in Indiana, PA. One should keep it and all medicines away from children. The package insert contains usage instructions. It should be stored at 20-26°C, with excursions permitted to 15-30°C as per the USP standard.*

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

* 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.