Product Images Amcinonide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Amcinonide NDC 73308-407 by Ayurax, 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.

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 60 G CARTON - Amcinonide Carton Label

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 60 G CARTON - Amcinonide Carton Label

This is a description of a medication called Amcinonide Ointment USP, 0.1%. The usual dosage is to apply the ointment twice daily. It is important to store the product at a controlled room temperature, between 15°C-30°C (59°F-86°F) and avoid freezing it. The product has a tamper-resistant seal, and if this seal is punctured or not visible, it should not be used and returned to the place of purchase. The ointment is manufactured by Ayurax, LLC based in Fairhope, AL 36532 and distributed by Solubiomix, LLC located in Madisonville, LA 70447.*

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 60 G CONTAINER - Amcinonide Tube Label

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – 60 G CONTAINER - Amcinonide Tube Label

Aayurax is a company that manufactures and distributes a medication called Amcinonide Ointment USP, 0.1%. The ointment is used at a usual dosage of applying it twice daily. The package insert should be consulted for complete prescribing information. There is a warning to keep the product out of the reach of children. To open the ointment, the cap can be used to puncture the seal. It is important not to use the ointment if the seal has already been punctured or is not visible. Aayurax is based in Fairhope, AL 36532 and the ointment is distributed by Solubiomix, LLC in Madisonville, LA 70447.*

Chemical Formula - chemical structure

Chemical Formula - chemical structure

* 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.