Product Images Tretinoin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Tretinoin NDC 59651-713 by Aurobindo Pharma Limited, 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.
PACKAGE LABEL.PRINCIPAL DISPLAY PANEL- 15 g Tube Label - tretinoin fig2

This is a description for a Tretinoin Gel, USP indicated for topical use only. Each gram of the gel contains Tretinoin USP 0.25 mg (0.025%), alcohol, butylated hydroxytoluene, and hydroxypropyl cellulose. The gel is to be stored below 30°C (86°F) and comes with a warning to keep out of reach of children. The package insert provides details on the usual dosage. Additionally, the gel is manufactured in India and includes a code for lot number and expiration date. To open the gel, use the cap to puncture the seal.*
PACKAGE LABEL.PRINCIPAL DISPLAY PANEL- 15 g Tube Carton - tretinoin fig3

This description is from a pharmaceutical product that appears to be a Tretinoin Gel, USP with a concentration of 0.025%. The package contains warnings such as keeping the product out of reach of children. It provides instructions on puncturing a metal seal to access the product and emphasizes the importance of not using it if the seal is punctured or missing. The text also includes details on the composition of the gel and directions for opening and closing the product. Furthermore, it indicates the manufacturer (Aurobindo Pharma USA) and its address in East Windsor, while mentioning that the product is made in India.*
Chemical Structure - tretinoin str

This text "COOH" refers to the carboxyl group in organic chemistry, consisting of a carbon atom double bonded to an oxygen atom and single bonded to a hydroxyl group (OH). It is a functional group commonly found in organic compounds like acids.*
* 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.