Nicotine Lozenge
Product Images NDC 58602-903

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 Nicotine (NDC 58602-903). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Aurohealth 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

Figure1 (Nicotine Fig1)

FDA Label Image

Figure2 (Nicotine Fig2)

Figure2 (Nicotine Fig2)
This text is a template for a "Wallet Card" with a space to fill in the most important reasons to quit smoking, and contact information for the American Lung Association, American Cancer Society, American Heart Association, and a Quitting Buddy or Friend who has quit. The number "P1530140" may be a product or inventory code.*
FDA Label Image

Package Label.principal Display Panel (2 mg (24 Lozenges, Container Label))

Package Label.principal Display Panel (2 mg (24 Lozenges, Container Label))
The given text describes the usage, dosage, cautionary notes, and contact information of a nicotine polacrilex 2mg lozenge, used as a stop-smoking aid. The product is available under the brand name "PrimaryHealth" and comes in a mint flavor. It directs the user to place the lozenge in the mouth and let it dissolve slowly without chewing, and not to swallow or consume any food or drink for 15 minutes before or during use. The carton packaging must be kept for full details, directions, and warnings, and the container must be discarded after use. Overdose instructions and tamper-evident features are also provided. The manufacturer is AuroHealth LLC, located in East Windsor, NJ, USA.*
FDA Label Image

Package Label-principal Display Panel (2 mg (24 Lozenges, Container Carton Label))

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