Dual Anesthetic Numbing Cream
Product Images NDC 87320-0001

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Dual Anesthetic Numbing (NDC 87320-0001). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Leibovich Edward Persoana Fizica Autorizata, 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

Box 2 (Box 2)

Box 2 (Box 2)
This product offers strong numbing for tattoo removal and skin procedures. It is specially formulated for sensitive skin, free from harsh chemicals, and is cruelty-free. The weight of the product is 50g.*
FDA Label Image

Box Pic (Box Pic)

FDA Label Image

Drugs Facts (Drugs Facts)

Drugs Facts (Drugs Facts)
This is a drug information label providing details about the active ingredients, uses, warnings, and inactive ingredients of a pain relief product. The product contains Lidocaine, Benzocaine, and Trolamine as anesthetics for temporary pain relief from minor cuts, burns, and skin scrapes. It warns against contact with eyes, advises keeping it away from children, and recommends seeking medical help if any adverse reactions occur. The inactive ingredients include Aloe Vera, Chamomile Extract, Vitamin E, Glycerin, Menthol, and Lecithin, and storage instructions are provided.*
FDA Label Image

Full Packing (Full Packing)

Full Packing (Full Packing)
This text appears to be a description of a strong numbing cream suitable for tattooing, laser hair removal, and skin procedures. The cream is stable for sensitive skin, free from harsh chemicals, and is cruelty-free. It weighs 50 grams and is labeled as "Symo Kaneā„¢ Dual Anesthetic Numbing Cream."*

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