Product Images Fenofibrate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Fenofibrate NDC 51079-599 by Mylan Institutional 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.
This is a description of Fel rate Tablets, USP containing Fenofibrate, for which the usual dosage can be found in the prescribing information. The tablet contains 48mg of Fenofibrate, and should be stored at controlled room temperature, protected from moisture. The code number of the product is given as MHDRUGS/25/NKD/B9, with manufacturing information provided for Mylan Pharmaceuticals Inc. in Morgantonn, WY, USA and India.*
This unit dose package is not child resistant and is intended for institutional use only. It is important to keep this and all drugs out of the reach of children. The container is designed to provide light resistance and has a window for the lot number and expiration date. The drug is manufactured by Mylan and the company is located in Rockford, IL 61103 USA.*
Fenofibrate is a prescription medication available in tablet form. The tablets contain 145mg of Fenofibrate and are film-coated. The usual dosage should be determined by accompanying prescribing information. The tablets should be stored in a cool, dry place at 20° to 25°C (68° to 77°F) and protected from moisture. It is manufactured for Mylan Pharmaceuticals Inc. and made in India. NDC 51079-608-20 is the product code.*
This unit dose package is not child resistant and is intended for institutional use only. Keep this and all drugs out of the reach of children. The container provides light resistance and includes a window for the lot number and expiration date. The manufacturer of the drug is Mylan, located in Rockford, IL, USA.*
* 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.