Product Images Careone Nicotine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 11 images provide visual information about the product associated with Careone Nicotine NDC 41520-711 by American Sales 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 recommended schedule for using Nicotine Polacrilex Gum, a smoking cessation aid. The schedule involves using one gum piece every 1-2 hours during the first 6 weeks, then every 2-4 hours during weeks 7-9, and finally every 4-8 hours during weeks 10-12. The product is made in Denmark and distributed by Perrigo in Michigan.*
This is a wallet card that provides emergency contact information to call for help. The card includes phone numbers for the American Lung Association, American Cancer Society, and American Heart Association. They can be contacted in case of emergency and for general support.*
The text appears to be a logo or trademark symbol followed by a website "1habits.com" and a tagline "Smoke Free" with a trademark symbol. It also mentions a "Free & Personalized Support Plan". It seems to be promoting a smoking cessation program or service that offers personalized support.*
This text provides instructions or reminders for a smoking cessation program. It recommends placing reminders on a calendar for taking one piece of something every 1 to 2 hours in step 1, and one piece every 2 to 4 hours in step 2. At the beginning of week 1, one piece is required every 4 to 8 hours, and by week 10, only one piece every 12 weeks is necessary.*
This is a description of nicotine gum produced by Careone with an Ice Mint Flavor. The product is available in 2mg or 4mg nicotine polacrilex gum, with 100 coated pieces that are to be used by individuals who smoke their first cigarette 30 minutes after waking up or within 50 minutes of waking up.*
* 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.