Cefuroxime Axetil Tablet, Film Coated
Product Images NDC 67296-2168

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Cefuroxime Axetil (NDC 67296-2168). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Redpharm Drug, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Cefuroxime-250-mg-20tab (Cefuroxime 250 mg 20tab)

Cefuroxime-250-mg-20tab (Cefuroxime 250 mg 20tab)
This text appears to be information about a medication package. It includes details on dosage and administration, ingredients, storage instructions, and a product code (NDC 767721520). The medication seems to contain cefuroxime axetil in 250 mg tablets. The package dimensions are 45 x 20 mm, and storage temperature recommendation is between 20°C to 25°C (68°F to 77°F). It also mentions using UV varnish and sealing the container securely after opening. Additionally, it advises dispensing in well-closed containers. The text may be for a product labeled as "CEF‌UROX‌IME AXETIL TABLETS, USP" from the ASCEND brand.*
FDA Label Image

Cefuroxime-500-mg-60tab (Cefuroxime 500 mg 60tab)

Cefuroxime-500-mg-60tab (Cefuroxime 500 mg 60tab)
This is a description: This text provides information about cefuroxime axetil tablets, with each tablet containing 500mg of cefuroxime. It includes details on dosage, storage instructions, manufacturer (Alkem Laboratories Ltd in India), and distributor (Ascend Laboratories, LLC in Parsippany, NJ). The tablets are prescription-only, come in a package of 60 tablets, and have specific labeling requirements.*
FDA Label Image
FDA Label Image

Cefuroxime-structure (Cefuroxime Structure)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.