Product Images Entecavir

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Entecavir NDC 42494-457 by Cameron Pharmaceuticals, 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.

Chemical Structure - entecavir 01

Chemical Structure - entecavir 01

Principal Display Panel - 0.5 mg Tablet Bottle Carton - entecavir 02

Principal Display Panel - 0.5 mg Tablet Bottle Carton - entecavir 02

This is a description of Entecavir Tablets, USP, containing 0.5mg of entecavir per tablet. The tablets come in a package of 30 and are for prescription use only. The package insert provides information on indications and dosage. Manufactured for Cameron Pharmaceuticals in Louisville, Kentucky, USA, and made in China. The package is child-resistant and should be stored at 25°C with excursions permitted between 15-30°C. It is advised to keep the package out of reach of children, store in the outer carton to protect from light, and not use if the inner seal of the bottle is broken or missing. Rev. 04/2025.*

Principal Display Panel - 1 mg Tablet Bottle Carton - entecavir 03

Principal Display Panel - 1 mg Tablet Bottle Carton - entecavir 03

This is a description of a pharmaceutical product called Entecavir, which comes in the form of tablets with a strength of 1mg each. The package contains 30 tablets and includes information regarding usage, indications, and dosage. It is manufactured for Cameron Pharmaceuticals in Louisville, Kentucky, USA but made in China. The package is child-resistant and should be stored at 25°C with excursions permitted to 15-30°C. It is advised to store in the outer carton to protect from light and not to use if the inner seal is broken or missing. The revision date is April 2025.*

* 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.