Fenofibrate Tablet, Film Coated
Product Images NDC 46708-360

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Fenofibrate (NDC 46708-360). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Alembic Pharmaceuticals Limited, 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

Fenofibrate-145-mg.jpg (Fenofibrate 145 mg)

Fenofibrate-145-mg.jpg (Fenofibrate 145 mg)
This is a description of a medication called "E@pofibrate". The medication comes in tablet form and should be stored at controlled room temperature to protect it from moisture. The bottle should not be accepted if the seal is broken or missing. It should be dispensed in a USP fight container. The medication is manufactured by Alembic Pharmaceuticals Limited, located in India. The text also includes the Rx number, which is 46708-361-30 and the quantity which is 30 tablets.*
FDA Label Image

Fenofibrate-48-mg.jpg (Fenofibrate 48 mg)

Fenofibrate-48-mg.jpg (Fenofibrate 48 mg)
Each tablet of this medication contains 28mg of Fenofibrate, a medicine used to lower high cholesterol and triglyceride levels in the blood. The recommended dosage should be consulted from the package insert. It is advised to store the medicine in a cool, dry place below 30°C and protect it from moisture. The manufacturer is Alembic Pharmaceuticals Limited located in Gujarat, India. The medication comes in a bottle of 30 tablets that should be dispensed in a USP tight container. The NDC number of this medication is 46708-360-30. The lot number and manufacturing license number are also provided.*
FDA Label Image

Structure (Fenofibrate Structure)

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