Product Images Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Nicotine NDC 58602-903 by Aurohealth 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.

Figure1 - nicotine fig1

Figure1 - nicotine fig1

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.*

PACKAGE LABEL.PRINCIPAL DISPLAY PANEL - 2 mg (24 Lozenges, Container Label) - nicotine fig3

PACKAGE LABEL.PRINCIPAL DISPLAY PANEL - 2 mg (24 Lozenges, Container Label) - nicotine fig3

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.*

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 2 mg (24 Lozenges, Container Carton Label) - nicotine fig4

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 2 mg (24 Lozenges, Container Carton Label) - nicotine fig4

* 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.