Product Images Fluocinonide
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Fluocinonide NDC 72603-703 by Northstar Rxllc, 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.
222 - fluocinonide solution back label
This text provides information about a solution containing 0.5 mg of Fluocinonide, USP, along with other ingredients like citric acid, ethyl alcohol, disopropyl adipate, propylene glycol, and purified water. The usual dosage recommendation is to apply a small amount to the affected area 2 to 4 times daily. It also includes storage instructions and manufacturing details. The product is manufactured by Northstar Rx LLC and Macleods Pharmaceuticals Ltd. The batch is expected to expire in September 2024.*
323 - fluocinonide solution carton
This is a description of Fluocinonide Topical Solution USP, 0.05% for topical use only. The medication is intended for topical application on the affected area two to four times daily as needed. It contains 0.5 mg of Fluocinonide, USP per mL, along with other ingredients. The solution should be stored at 20° to 25°C (66° to 77°F) with permitted excursions up to 15°-30°C (59°-88°F) and must be kept out of the reach of children. The product is manufactured by NorthStar Rx LLC and Mackods Pharmaceuticals. Product information includes NDC code, dosage instructions, storage guidelines, and manufacturer details.*
666 - fluocinonide solution front label
This is a description of a medication called Fluocinonide Topical Solution USP, with a concentration of 0.05%. It is intended for topical use only and should not be used in the eyes. The medication comes in a 60 mL container and is meant to be kept out of reach of children.*
fluocinonide - fluocinonide structural formula
* 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.
