Product Images Fenofibrate

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Product Label Images

The following 3 images provide visual information about the product associated with Fenofibrate NDC 82619-101 by Creekwood Pharmaceuticals Llc, 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.

image description - Fenofibrate Tablets USP 120mg

image description - Fenofibrate Tablets USP 120mg

This text appears to be a description of a medication called Fenofibrate. It is a tablet containing 120 mg of Fenofibrate, which is used for a specific purpose mentioned in the package insert for prescribing information. The recommended storage temperature is between 20°C to 25°C (68°F to 77°F). The medication should be kept out of reach of children and dispensed in a tightly closed, light-resistant container with a child-resistant closure. It is manufactured by V-Ensure Pharma Technologies Pvt. Ltd. in Raigad Maharashtra, India, and distributed by Creekwood Pharmaceuticals LLC. in Parsippany, NJ, USA. The provided text does not contain any non-English characters.*

image description - Fenofibrate Tablets USP 40mg

image description - Fenofibrate Tablets USP 40mg

Fenofibrate Tablets, USP with 40 mg Fenofibrate each. This medication is prescribed and comes in a package containing 90 tablets. The usual dosage should be determined by referring to the package insert for prescribing information. It should be stored at a temperature between 20°C and 25°C (68°F to 77°F) according to USP guidelines. The medication should be kept out of reach of children and dispensed in a tightly closed container with a child-resistant closure. Manufactured by V-Ensure Pharma Technologies PVL Lt in Raigad Maharashtra, India, and distributed by Greekwood Pharmaceuticals LLC in Parsippany, NJ.*

Structure - e1f9aae1 cd76 4449 a092 0202d95fced1 01

Structure - e1f9aae1 cd76 4449 a092 0202d95fced1 01

* 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.