Product Images Cutivate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Cutivate NDC 10337-332 by Pharmaderm A Division Of Fougera Pharmaceuticals 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.

Structural Formula - cut00 0005 01

Structural Formula - cut00 0005 01

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 15 G CARTON - cut00 0005 02

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 15 G CARTON - cut00 0005 02

This is a warning and instruction label for a medication called "Fluticasone Propionate cream", which is for dermatologic use only and not for the eyes. The drug is to be kept out of reach of children and stored in a cool temperature range between 2 and 20 degrees Celsius. The label contains information about the dosage and its composition. The medication is produced by PharmaDerm and is identified by a product code (NOC 10057260).*

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 15 G CONTAINER - cut00 0005 03

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 15 G CONTAINER - cut00 0005 03

Pharmaberm® is a fluticasone propionate cream used for dermatologic use only. It contains fluticasone propionate 0.05% in a cream base of propylene glycol, mineral oil, cetostearyl alcohol, Ceteth-20, isopropyl myristate, dibasic sodium phosphate, citric acid, purified water, and imidurea. The recommended dosage is to apply 2 thin films of the cream to the affected skin areas twice daily. It is important to check the crimp for the product number and expiration date and to not use the product if the seal has been punctured or is not visible. PharmaDerm® is a division of Fougera Pharmaceuticals Inc. and the product should be stored between 2° and 30°C (36" and 86°F) and kept out of reach of children.*

* 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.