Product Images Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 11 images provide visual information about the product associated with Nicotine NDC 79481-0755 by Meijer, Inc., 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.

stickers - export 00

stickers - export 00

This text appears to be a schedule or plan for smoking cessation. The schedule outlines a step-by-step process for reducing the frequency of nicotine intake over time, with specific guidelines for the number of pieces to consume at different intervals. It also mentions different time frames for these intervals, such as every 1 to 2 hours, every 2 to 4 hours, and every 4 to 8 hours. The plan seems to have specific milestones marked by "Beginning of Week #1," "Beginning of Week #7," "Beginning of Week #10," and "12 Weeks After Quit Date." The text also references Step 1, Step 2, and Step 3 as part of the process.*

garbage - image 01

garbage - image 01

basketball - image 02

basketball - image 02

dreaming - image 03

dreaming - image 03

lucky - image 04

lucky - image 04

dosage - image 05

dosage - image 05

Recommended dosage schedule for Nicotine Polacrilex Gum is provided in three steps: Step 1, Step 2, and Step 3, with recommended time intervals between doses. This gum is made in Denmark.*

wallet - image 06

wallet - image 06

This text provides a list of emergency contact numbers for health organizations, namely the American Lung Association, American Cancer Society, and American Heart Association. These numbers can be stored in a wallet card for quick access in case of emergencies.*

wallet - image 07

wallet - image 07

Smoke Free image - image 08

Smoke Free image - image 08

upc - image 09

upc - image 09

766-6e-nicotine-gum - image 10

766-6e-nicotine-gum - image 10

* 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.