Product Images Pramosone Cream

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Pramosone Cream NDC 54766-716 by Sebela 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.

hydrocortisone acetate - pramosone cream 1

hydrocortisone acetate - pramosone cream 1

Pramosone® Cream 1% - 1 oz - pramosone cream 2

Pramosone® Cream 1% - 1 oz - pramosone cream 2

This is a medication with the NDC code 54766-716-04, called Pramosone. It is a cream containing hydrocortisone acetate 1% and pramoxine HCI 1%, in a hydrophilic cream base. It is NOT intended for ophthalmic use and contains paraben. The usual dosage is 3-4 times daily, with a thin layer applied on the affected area. The medication is distributed by Sebela Pharmaceuticals Inc. and manufactured for Sebela Ireland Lid. The website of the company is www.sebelapharma.com, and the toll-free number is 1-844-732-3521.*

Pramosone® Cream 1% - 1 oz - pramosone cream 3

Pramosone® Cream 1% - 1 oz - pramosone cream 3

This is a description of a medication called Pramosone. It contains hydrocortisone acetate 1% and pramoxine HCI 1% in a hydrophilic cream base that is to be applied externally. The medication is to be kept out of reach of children, is not for ophthalmic use, and must be stored at 25°C. Users are advised to check the lot number and expiration date on the tube crimp before use. The medication is to be used 3-4 times daily, and users are advised to consult the package insert for further details. Aquaphor is a registered trademark of Beersdorf AG. The text has a lot number and expiration date of the medication as well as information about its ingredients, manufacturing, and distribution.*

pramoxine hcl - pramosone cream 4

pramoxine hcl - pramosone cream 4

* 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.