Product Images Nicotac Nicotine Polacrilex Coated Cinnamon

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Product Label Images

The following 2 images provide visual information about the product associated with Nicotac Nicotine Polacrilex Coated Cinnamon NDC 66715-9801 by Lil' Drug Store Products, Inc., 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.

PRINCIPAL DISPLAY PANEL - 4 mg Gum Blister Pack Carton - nicotac 01

PRINCIPAL DISPLAY PANEL - 4 mg Gum Blister Pack Carton - nicotac 01

This is a drug fact sheet for nicotine gum, which is used to aid in quitting smoking by reducing nicotine withdrawal symptoms. The gum is available over the counter and is blister-packaged for safety. The text provides instructions for use, and includes a warning about possible side effects such as increased blood pressure and seizures, and advises against using the gum if pregnant or breastfeeding. If there are any concerns or questions about the product, it is recommended that a doctor or pharmacist be consulted.*

PRINCIPAL DISPLAY PANEL - 2 mg Gum Blister Pack Carton - nicotac 02

PRINCIPAL DISPLAY PANEL - 2 mg Gum Blister Pack Carton - nicotac 02

This is a drug facts label for Nicotine Polacrilex Gum USP. It contains 2mg of nicotine to help reduce withdrawal symptoms and cravings associated with quitting smoking. The gum comes in a cinnamon flavor and should be used according to the dosing schedule provided on the package. The gum should be used for at least 12 weeks to improve the chances of quitting. The packaging is labeled for consumer protection and should not be used if any individual seals are open or torn. The label also provides important information about using the product, possible side effects, and when to seek medical help. There is also a contact number provided for any questions or comments.*

* 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.