Product Images Up And Up Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 12 images provide visual information about the product associated with Up And Up Nicotine NDC 82442-123 by Target Corporation, 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.

garbageman - image 01

garbageman - image 01

basketball - image 02

basketball - image 02

daydream - image 03

daydream - image 03

luck - image 04

luck - image 04

dosage table - image 05

dosage table - image 05

Recommended dosage schedule for Nicotine Polacrilex Gum: STEP 1: Chew 2 mg gum every 1 to 2 hours. STEP 2: Chew 2 mg gum every 2 to 4 hours. STEP 3: Chew 2 mg gum every 4 to 8 hours. Made in Denmark. Note: The text "onaesty PEITIZO s w00" is not available for interpretation.*

wallet - image 06

wallet - image 06

This is a wallet card providing important contact information for various organizations that can provide help and support. The organizations listed include the American Lung Association, American Cancer Society, and American Heart Association. The card provides their respective phone numbers, which can be utilized to obtain assistance or information from these organizations.*

wallet - image 07

wallet - image 07

logo - image 08

logo - image 08

upc - image 09

upc - image 09

stickers - image 10

stickers - image 10

This text appears to be instructions or guidelines for quitting smoking, as it mentions steps and timelines related to reducing the number of cigarette pieces consumed at different intervals. The text also references specific weeks after the quit date. The exact details of the steps and intervals are not completely readable, so a full description cannot be provided.*

nicotine gum-image 1 - image 11

nicotine gum-image 1 - image 11

nicotine gum-image 2 - image 12

nicotine gum-image 2 - image 12

* 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.