Product Images Sunmark Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 11 images provide visual information about the product associated with Sunmark Nicotine NDC 49348-691 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.

nicotine gum image - 206 S1 nicotine gum image

nicotine gum image - 206 S1 nicotine gum image

Wallet Card 2.jpg - export 00

Wallet Card 2.jpg - export 00

This is a wallet card meant to be filled out by individuals who have quit smoking or are planning to quit smoking. Unfortunately, there is no additional information available in the text.*

Wallet Card 1.jpg - export 01

Wallet Card 1.jpg - export 01

The text provides a list of helpful organizations and their contact numbers that can be called for assistance related to lung health, cancer and heart health. The information is summarized on a wallet card for convenience.*

So You Decided To Quit - image 01

So You Decided To Quit - image 01

What to Expect - image 02

What to Expect - image 02

What to Expect - image 03

What to Expect - image 03

Good luck - image 04

Good luck - image 04

dosage - image 05

dosage - image 05

Smoke Free Habits - image 06

Smoke Free Habits - image 06

UPC Code - image 07

UPC Code - image 07

Leaflet Stickers.jpg - image 08

Leaflet Stickers.jpg - image 08

This appears to be a set of instructions related to a smoking cessation program. The instructions outline the recommended frequency and timing of nicotine replacement therapy (NRT) in the form of chewing gum or lozenges, including gradual reduction over time. It seems to be organized into three steps, with different intervals and quantities recommended for each. Overall, this appears to be a practical and strategic guide for those trying to quit smoking.*

* 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.