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 69842-828 by Cvs Pharmacy, 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 lazenge image - 6U4 17 nicotine lazenge image

This appears to be a description of a sugar-free nicotine lozenge aimed as a stop smoking aid. Each lozenge contains 4mg of nicotine polacrilex, which is designed to be taken every 20 to 30 minutes. The lozenge comes in a citrus flavor and is packaged in a box containing 81 mini lozenges. The image also shows a tamper-evident logo to indicate that the product has not been tampered with.*
Wallet Card Image 2 - image 02

The text provides information about a wallet card that provides contact information for organizations that can provide help and support for individuals looking to quit smoking or seeking assistance with lung, heart, or cancer-related issues. The card lists phone numbers for the American Lung Association, American Cancer Society, and American Heart Association, as well as suggesting the option of reaching out to a "Quitting Buddy" or a friend who has successfully quit smoking.*
Smoke Free Habits Logo - image 03

IS_I okeFree has a website called Habit.com that offers a Free & Personalized Support Plan.*
Reminder Stickers - image 05

This text appears to be a set of reminders for individuals who are trying to quit smoking. It suggests a schedule for using lozenges as a nicotine replacement therapy, with one lozenge every 1-2 hours in the first week (known as the Quit Date), and then gradually reducing the frequency of use to 1 lozenge every 2-4 hours in week 3 and then to 1 lozenge every 4-8 hours by week 7. Finally, there is a reminder 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.