Chemstructure.jpg (Chemstructure)
Tretinoin Gel
Product Images NDC 68682-515
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Tretinoin (NDC 68682-515). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Oceanside Pharmaceuticals, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
Image 01
This is a description of a medication called Tretinoin. It comes in a gel form with microspheres and a strength of 0.04%. The medication is used in the treatment of skin conditions. The packaging instructions direct the user to keep the product away from the reach of children and to store it in temperatures between 6°C and 25°C. The manufacturer is Cosmete Farvaciic, a subsidiary of Ve et Horth Amaria LC. The medication is distributed by Oceanside Fearmaceitias.*
Image 02
This is a description for a topical gel medication called Tretinoin. It contains 0.1% Tretinoin, MICROSPONGE® System, and other ingredients such as benzyl alcohol, carbomer 974P, cyclomethicone, and puriied water, among others. It is manufactured by Oceanside Pharmaceuticals, a division of Valeant Pharmaceuticals North America LLC. The usual dosage is available in the package insert, and it is important to keep the product out of reach of children. The storage temperature is between 20°C to 25°C (6B'F to T7°F), and excursions are permitted from 15°C to 30°C (S9°F to 86°F). The product must be returned if the seal has been punctured or is not visible. There are instructions on how to open and close the product. This is a prescription medication, and the NDC code is 6868251382 R.*
Image 03
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
