Product Images Nicotine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 11 images provide visual information about the product associated with Nicotine NDC 0363-7269 by Walgreen Company, 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.
This is a description of the recommended dosage schedule for using Nicotine Polacrilex Gum. The schedule consists of three steps, each lasting a different number of weeks, with different recommended frequencies of gum use during each step. Step 1 lasts for weeks 1 to 6, during which one piece of gum should be used every 1 to 2 hours. Step 2 lasts for weeks 7 to 9, during which one piece of gum should be used every 2 to 4 hours. Step 3 lasts for weeks 10 to 12, during which one piece of gum should be used every 4 to 8 hours. The gum is made in Denmark and distributed by Perrigo in Michigan.*
This is a wallet card that provides important phone numbers for help. The card includes the phone numbers for the American Lung Association (1-800-586-4872), the American Cancer Society (1-800-227-...), and the American Heart Association (1-800-242-8...).*
This is not-available as there is not enough information to generate a description. The text provided only contains a sequence of numbers and a UPC code which on its own is not sufficient to create a meaningful description.*
This is a quit smoking guide that provides some reminders for people looking to quit smoking. It recommends placing reminders on your calendar for different steps. In week #1, the recommendation is to take 1 piece every 1 to 2 hours, and then in week #7, switch to 1 piece every 2 to 4 hours. By week #10, the suggestion is to take 1 piece every 4 to 8 hours. Finally, it recommends another evaluation after 12 weeks post 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.