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 58602-904 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 is a template for a wallet card designed to help smokers quit smoking. The card provides contact information for organizations like the American Lung Association, American Cancer Society, and American Heart Association, as well as a suggestion to find a "Quitting Buddy" or a friend who has already quit smoking to help with the process. However, there is no information given about the card user's own reasons to quit smoking.*

PACKAGE LABEL.PRINCIPAL DISPLAY PANEL-4 mg (24 Lozenges, Container Label) - nicotine fig3

PACKAGE LABEL.PRINCIPAL DISPLAY PANEL-4 mg (24 Lozenges, Container Label) - nicotine fig3

This is a description of a stop smoking aid product called "PrimaryHealth Nicotine Polacrilex Lozenge". The lozenge has 4mg of nicotine and is meant to be dissolved in the mouth for up to 30 minutes. The directions state not to eat or drink 15 minutes before using and to not use more than 20 lozenges per day. The product is not for individual sale and should be used according to a specific schedule outlined on the packaging. The outer carton should be retained for full product use, directions, and warnings. A tamper evident seal must not be broken or missing. The contact address is Aurohealth LLC, located in East Windsor, NJ. It is made in India according to a specific code.*

PACKAGE LABEL.PRINCIPAL DISPLAY PANEL- 4 mg (24 Lozenges, Container Carton Label) - nicotine fig4

PACKAGE LABEL.PRINCIPAL DISPLAY PANEL- 4 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.