Product Images Health Mart Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 12 images provide visual information about the product associated with Health Mart Nicotine NDC 62011-0170 by Strategic Sourcing Services 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.

42225W6C7 Image 1

42225W6C7 Image 1

42225W6C7 Image 2

42225W6C7 Image 2

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. The schedule includes three steps with varying hours between each step. The origin of the product is Denmark. The last line contains non-English characters and does not provide any useful information.*

wallet - image 06

wallet - image 06

The text is a description of a wallet card with emergency phone numbers to call for help provided by American Lung Association, American Cancer Society, and American Heart Association.*

wallet - image 07

wallet - image 07

logo - image 08

logo - image 08

upc - image 09

upc - image 09

UPC ONLY is a label that indicates that the product can only be identified by its UPC (Universal Product Code). The UPC code for this particular product is 11110 789 5.*

stickers - image 10

stickers - image 10

This text seems to be instructions related to a quit smoking program. It provides guidelines on how often to use nicotine gum (1 piece every 1 to 2 hours or 1 piece every 2 to 4 hours) depending on the stage of the program (Beginning of Week #1, Beginning of Week #7, Beginning of Week #10, or 12 Weeks After Quit Date). It also mentions a STEP3, but does not provide any information about what it is.*

* 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.