Product Images Basic Care Nicotine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 12 images provide visual information about the product associated with Basic Care Nicotine NDC 72288-292 by Amazon.com 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.
Recommended dosage schedule for Nicotine Polacrilex Gum: STEP 1- 1 piece every 1 to 2 hours for weeks 1 to 6, STEP 2- 1 piece every 2 to 4 hours for weeks 7 to 9, STEP 3- 1 piece every 4 to 8 hours for weeks 10 to 12. Made in Denmark. Distributed by Perrigo in Michigan.*
The text appears to be a wallet card with emergency contact numbers for health associations. The American Lung Association and American Cancer Society phone numbers are readable, but the American Heart Association phone number appears to be cut off.*
Smoke Freeā¢ is a program designed to help people quit smoking. With personalized support plans provided by Habits.com, users can receive assistance throughout their journey towards living a smoke-free life. This program offers free resources and guidance to help individuals overcome addiction and achieve their goals.*
The text seems to be a barcode with the UPC number "67890 5" for a product with the name "EXAMPLE". There is no other information available.*
The text provides reminders for someone who wants to quit smoking, specifying the number of pieces to be taken during various intervals in the first week, the beginning of the 10th week, and after 12 weeks from the quit date. The text is a guide to help in quitting smoking.*
This text appears to be a collection of drug facts and warnings, in addition to some instructions and inactive ingredients. However, much of the text is garbled due to errors and is not easily readable, making it difficult to provide a useful description.*
* 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.