Wart Remover-salicylic Acid Liquid
Product Images NDC 87295-0001

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Wart Remover-salicylic Acid (NDC 87295-0001). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Ecommerce Digital Sales Llc, 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

Skin Tag Remover 1 Pack Outlined (Skin Tag Remover 1 Pack Outlined)

Skin Tag Remover 1 Pack Outlined (Skin Tag Remover 1 Pack Outlined)
This is a product label for a wart remover. The active ingredient is Salicylic Acid at 7% concentration. The purpose of the product is to remove common warts and plantar warts. It provides instructions for usage, warnings, and directions for how to apply the product. It highlights that the product is for external use only and warns against use on certain skin conditions. The text also mentions the expected time frame for wart removal, storage instructions, and contact information for questions. Additionally, it emphasizes that the product is made in the USA and contains other active ingredients like water, glycerin, and polyethylene glycol.*
FDA Label Image

Skin Tag Remover 2 Pack Outlined (Skin Tag Remover 2 Pack Outlined)

Skin Tag Remover 2 Pack Outlined (Skin Tag Remover 2 Pack Outlined)
This is a text about a wart remover product. It provides information on how to identify common and plantar warts, warnings about usage, directions for application, and inactive ingredients. The product is described as safe and effective for wart removal, with a gentle and advanced formula. For any questions, a contact number is provided.*

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