Product Images Verdeso

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Verdeso NDC 16110-111 by Almirall, 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.

Chemical Structure - verdeso 01

Chemical Structure - verdeso 01

Can Label - verdeso 02

Can Label - verdeso 02

Verdeso Foam is a medication that contains desonide, a type of mild corticosteroid, and is used topically. The medication comes in an emulsion foam formulation and contains other ingredients such as cetyl alcohol, isopropyl myristate, and purified water. Verdeso Foam is dispensed from an aluminum can pressurized with a hydrocarbon propellant and is flammable, so it should be kept away from fire, flame, or smoking. It also should be kept at controlled room temperature, away from children and heat, with contents not to be punctured. Patients are advised to read the enclosed patient information and dosage should be according to the prescription of the doctor. If any side effects are experienced, the patient can report it to the given number. The medication is manufactured by DPT Laboratories in San Antonio, TX and is prescribed by Almirall LLC based in Exton, PA. *

Carton Label - verdeso 03

Carton Label - verdeso 03

Verdeso Foam is a medication in the form of emulsion foam used for topical use only. It contains 0.05% desonide, a low-potency topical corticosteroid. Its 100 g content is dispensed from an aluminum can pressurized with a hydrocarbon propellant. Verdeso Foam can be harmful if exposed to fire, flame or smoking during and after application. Patients must read the enclosed Patient Information before use. It is available only with a prescription. For more information regarding dosage and side effects, one can call 1-866-665-2782.*

* 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.