Product Images Health Mart Nicotine Polacrilex

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Health Mart Nicotine Polacrilex NDC 62011-0048 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.

344W6 nico lozenge image1

344W6 nico lozenge image1

This is a product description for Nicotine Polacrilex Lozenges, 2 mg, which are designed for people who had their first cigarette more than 30 minutes after waking up. The package contains 72 lozenges, with each container having 24 lozenges. To increase the chances of success in quitting smoking, the user should follow the smoking program, including using a support program to have a better chance of quitting smoking. The text also includes a warning on the tamper-evident feature, advising users not to use the product if the packaging is broken.*

344W6 nico lozenge image2

344W6 nico lozenge image2

wallet_card - image 01

wallet_card - image 01

The text is a description of a wallet card, which provides contact information for organizations that can help with lung disease, cancer, and heart health. It also includes a suggestion to seek support from a friend who has quit smoking.*

wallet‑_card - image 02

wallet‑_card - image 02

smoke_free_logo - image 03

smoke_free_logo - image 03

upc_example - image 04

upc_example - image 04

The text is not available.*

stickers - image 05

stickers - image 05

This is a reminder text for smokers who are trying to quit. It provides instructions on when to take lozenges during weeks 1, 3, and 7 after quitting. There are different schedules depending on whether the smoker is a beginner or an ex-smoker. After 12 weeks, there is another reminder to mark on the calendar.*

* 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.