Product Images Nicotine Mini
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Nicotine Mini NDC 0363-7051 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.
Nicotine Mini Lozenge Carton - 1Y1C294C1
This description provides detailed information about a nicotine mini lozenge product intended to help individuals quit smoking. The text includes details about the active ingredients, dosage instructions, usage recommendations, warnings for pregnant or breastfeeding individuals, and directions for use. It also mentions the importance of motivation to quit smoking, the recommended number of lozenges to use per day, and the duration of use for optimal results. Additionally, it highlights the support program provided with the product and encourages users to visit the Walgreens website for tools, resources, and motivation to aid in smoking cessation. The text also lists the distributor as Walgreen Co. and emphasizes that the product is for individuals 18 years and older, with age verification required.*
Stickers - Stickers
This text provides a structured reminder for using nicotine lozenges as part of a smoking cessation plan over a period of 12 weeks. It outlines the frequency of lozenge intake and the recommended timing at the beginning of specific weeks, making it easy for individuals to track and follow their cessation schedule.*
wallet card 2 - image 02
This text provides essential contact information for help and support in various health-related issues. It includes contact numbers for the American Lung Association, American Cancer Society, and American Heart Association. It also suggests seeking assistance from a "Quitting Buddy" or a friend who has successfully quit a habit.*
* 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.