Product Images Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Nicotine NDC 37808-900 by H E B, 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.

7341J-nico-lozenge.jpg - 7341J nico lozenge

7341J-nico-lozenge.jpg - 7341J nico lozenge

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 provides information on where to call for help related to health issues. It includes phone numbers for the American Lung Association, American Cancer Society, and American Heart Association. The card also suggests seeking support from a friend who has quit smoking.*

Smoke Free Habits Logo - image 03

Smoke Free Habits Logo - image 03

I'm sorry, but the given text is incomplete and does not provide sufficient information. Can you please provide the full text that needs to be evaluated?*

UPC Example - image 04

UPC Example - image 04

The text corresponds to a product code or UPC with the number "67890 5". There is not enough information to determine the type or category of the product, as the text only includes the UPC and a label indicating the presence of the UPC.*

Reminder Stickers - image 05

Reminder Stickers - image 05

The given text seems to be a prescription or a reminder for a person who has quit smoking. It directs to place the given reminders on the calendar such as taking 1 lozenge every 1 to 2 hours for the first week (Quit Date) and 1 lozenge every 2 to 4 hours for the 3rd step. It also indicates taking 1 lozenge every 4 to 8 hours for an ex-smoker at the beginning of week #7 and week #10. Additionally, a reminder is given for the 12th week after the quit date.*

* 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.