Virasal
Product Images NDC 42783-312

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Virasal (NDC 42783-312). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Elorac, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Virasal Bottle Label 26sep2014.jpg (Virasal Bottle Label 26sep2014)

Virasal Bottle Label 26sep2014.jpg (Virasal Bottle Label 26sep2014)
This is a wart remover solution with 27.5% Salicylic Acid, manufactured by Elorac, Inc. It comes in a 131 oz. (10 mL) container and is for dermatological use only. The solution is not to be used in eyes and should only be applied once or twice daily as directed by a healthcare provider. The package insert provides full prescribing information. The product is labeled with NDC 42783-312-10 and is packaged in an antiviral film-forming vehicle. The lot number and expiration date are provided, and it is labeled for Rx-only use. U.S. Patent is also pending for the product.*
FDA Label Image

Virasal Carton Label 26sep2014b.jpg (Virasal Carton Label 26sep2014b)

Virasal Carton Label 26sep2014b.jpg (Virasal Carton Label 26sep2014b)
This appears to be a product label for a dermatological solution called "Vibasal," which contains salicylic acid and is used as an anxiolytic or wart remover. It provides instructions for use, dosage, storage, and a warning against using in the eyes or with children.*
FDA Label Image

Structure.jpg (Structure)

Structure.jpg (Structure)
COOH is a chemical formula representing a carboxyl group or an acid group (-COOH) in organic chemistry, which is commonly found in many organic compounds such as amino acids and fatty acids.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.