Product Images Nicotine Polacrilex Coated Ice Mint

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Nicotine Polacrilex Coated Ice Mint NDC 46122-449 by Amerisourcebergen (good Neighbor Pharmacy) 46122, 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 gum 2 mg and 4 mg coated ice mint 1

nicotine gum 2 mg and 4 mg coated ice mint 1

This is a product description for Nicotine Polacrilex Gum US, a stop smoking aid for those who smoke their first cigarette more than 30 minutes after waking up. The gum is coated with ice mint and is sugar-free. Each piece contains 2mg of nicotine. The package contains 40 pieces. The product is not manufactured or distributed by GaxoSmithine Consumer Healthcare. To use the gum, push it through the foil and chew slowly until there is a tingling sensation, then rest it between the cheek and gum to release the nicotine. Warnings include not using the gum if under 18, potential side effects, and not using the gum with other nicotine products. The text also includes directions for use and a list of inactive ingredients.*

nicotine gum 2 mg and 4 mg coated ice mint 2

nicotine gum 2 mg and 4 mg coated ice mint 2

This is a drug facts label for a smoking cessation gum, which the user chews to receive a regular dose of Nicotine. There are specific instructions on the packet describing how many pieces of gum should be taken daily and for how long the course should be taken. There is also information about various inactive ingredients used in the gum. The product details also include information about how the gum can be used effectively to help quit smoking. There is also a mention of the manufacturer who does not manufacture or distribute Niorete gum.*

* 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.