Product Images Sunmark Nicotine
View Photos of Packaging, Labels & Appearance
- nicotine gum image - 206 S1 nicotine gum image
- Wallet Card 2.jpg - export 00
- Wallet Card 1.jpg - export 01
- So You Decided To Quit - image 01
- What to Expect - image 02
- What to Expect - image 03
- Good luck - image 04
- dosage - image 05
- Smoke Free Habits - image 06
- UPC Code - image 07
- Leaflet Stickers.jpg - image 08
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
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
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
What to Expect - image 02
What to Expect - image 03
Good luck - image 04
dosage - image 05
Smoke Free Habits - image 06
UPC Code - image 07
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.
