Product Images Nicotine Polacrilex Original

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Product Label Images

The following 2 images provide visual information about the product associated with Nicotine Polacrilex Original NDC 69842-608 by Cvs Pharmacy, 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 original 1

nicotine gum 2 mg and 4 mg original 1

This is a product description for a nicotine gum that is manufactured and distributed by VS Pharmacy, Inc. The packaging states that it is a stop-smoking aid intended for those who smoke their first cigarette more than 30 minutes after waking up. It contains 2mg of nicotine polacrilex gum USP per piece. There are 20 pieces per package, and the recommended dosage is up to 12 pieces per day during the first six weeks. The packaging contains warnings for pregnant or breastfeeding women, as well as for those with high blood pressure, stomach ulcers, diabetes, or a history of seizures. The gum must be used correctly to get the best possible results.*

nicotine gum 2 mg and 4 mg original 2

nicotine gum 2 mg and 4 mg original 2

This is a product description for NicoretteĀ® Gum, a stop smoking aid manufactured by GlaosmitnKiine Consumer Healthcare and distributed by VS Pharmacy, Inc. The gum contains nicotine polacrilex USP, 4mg, and is a sugar-free and uncoated original flavor gum. The packaging includes instructions and warnings on how to use the gum, including the recommendation to use it with a support program for best results. The text also mentions that the gum is suitable for those who smoke their first cigarette within 30 minutes of waking up and advises them to use the 4mg gum version. Those who smoke their first cigarette more than 30 minutes upon waking up should use the 2mg version. Drug facts and other relevant information for users are also provided.*

* 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.