Product Images Nicotine Mini

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Product Label Images

The following 2 images provide visual information about the product associated with Nicotine Mini NDC 63548-0264 by Pld Acquisitions Llc Dba Av�ma Pharma Solutions, 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 polacrilex 4 mg - nicotine polacrilex lozenge mini 4mg 2mg 1

nicotine polacrilex 4 mg - nicotine polacrilex lozenge mini 4mg 2mg 1

This is an advertisement for a smoking cessation program that offers nicotine lozenges. The phone number provided on the ad is 1-877-753-3935. The ad includes instructions for using the lozenges, warnings, and suggestions for increasing success in the program. It also warns of the risks associated with the medicine and advises that those with a medical history or on other medications consult with their doctor before use.*

Nicotine polacrilex 2 mg - nicotine polacrilex lozenge mini 4mg 2mg 2

Nicotine polacrilex 2 mg - nicotine polacrilex lozenge mini 4mg 2mg 2

This is a description of a nicotine lozenge which can be used to reduce withdrawal symptoms associated with smoking cessation. The lozenge contains 2mg of nicotine polacrilex and is available in a mint flavor. The product comes with dosage instructions and it's recommended to use it at least 8 times a day for the first week and for up to 12 weeks. It's important not to consume more than 20 lozenges daily. This product is not recommended for individuals under 18 years of age and should not be used during pregnancy or breastfeeding without medical advice. If any adverse reactions or allergy symptoms occur, the usage of this product should be discontinued and medical assistance should be sought. For more information on the product and smoking cessation programs, there is a dedicated support line available to contact.*

* 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.