Product Images Nicotine Polacrilex Coated Ice Mint

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Product Label Images

The following 2 images provide visual information about the product associated with Nicotine Polacrilex Coated Ice Mint NDC 70000-0344 by Cardinal Health (leader) 70000, 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 label for Nicotine Gum, a Stop Smoking Aid used to reduce withdrawal symptoms including craving associated with quitting smoking. The gum is meant to be used for at least 12 weeks with support from a program directed in the enclosed User's Guide. The gum is sugar-free and contains the active ingredient, Nicotine Polacrilex Gum USP, 2 mg which is coated with ice mint flavor. The label contains warnings for pregnant and breastfeeding women, as well as those with heart disease, high blood pressure, diabetes, and allergies. It also warns against using more than 4 pieces per day and for longer than the recommended period. The label includes directions for use, including a schedule for gradually reducing usage over 12 weeks.*

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 product description for Nicotine Polacrilex Gum which is a stop smoking aid. It is advised to use at least 9 pieces per day for first week and to use it for a full 12 weeks for better results. The support program is directed as mentioned in the guide. The product contains 4mg of nicotine polacrilex in each chewing piece. It helps to reduce the withdrawal symptoms associated with quitting. The medicine should not be used during pregnancy or while breastfeeding without consulting a doctor. It also provides some directions for use along with warnings and precautions.*

* 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.