Product Images Sunmark Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Sunmark Nicotine NDC 70677-0090 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 lozenge image - 0Y7 S1 nicotine lozenge image

nicotine lozenge image - 0Y7 S1 nicotine lozenge image

Stop Smoking aid: Mini Lozenge comes in 4mg strength and is sold in tubes of 27 lozenges each. It is suggested to stop smoking within 30 minutes of waking up for best results.*

Wallet Card Image 1 - image 01

Wallet Card Image 1 - image 01

Wallet Card Image 2 - image 02

Wallet Card Image 2 - image 02

The text is a description of a wallet card that contains a list of phone numbers for people to call for help related to lung disease, cancer, and heart problems. The card also suggests that individuals can seek support from a friend who has successfully quit smoking.*

Smoke Free Habits Logo - image 03

Smoke Free Habits Logo - image 03

IS_I okeFree Habits.com offers a free and personalized support plan.*

UPC Example - image 04

UPC Example - image 04

This is not-available as the text does not provide any readable description. It seems to be a combination of numbers and codes.*

Reminder Stickers - image 05

Reminder Stickers - image 05

This text provides instructions for ex-smokers to follow after they quit smoking. It suggests placing reminders on your calendar for Week#1 (Quit Date) and Week#7 to have one lozenge every 1 to 2 hours and then every 2 to 4 hours, respectively. It also tells you to have one lozenge every 4 to 8 hours at the beginning of Step 3. Finally, it recommends placing a reminder on your calendar for Week#10 and having an additional lozenge every 12 weeks after you quit.*

* 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.