Product Images Berkley And Jensen Nicotine
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Product Label Images
The following 12 images provide visual information about the product associated with Berkley And Jensen Nicotine NDC 68391-170 by Bjwc, 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.
This is a description of a product named "Nicotine Polacrilex Gum". It contains 4mg of nicotine and comes in an "original flavor" pack. The pack contains 9 pieces and includes a user's guide. The product is comparable to Nicorette Gum which also contains nicotine.*
This is a nicotine gum that is given to help people with withdrawal symptoms and quit smoking. It must be used cautiously and requires a doctor's or pharmacist's guidance before use. The gum has active and inactive ingredients listed on the package. It comes with warnings and directions on how to use the gum effectively for best results. The product contains some inactive ingredients that people may be allergic to. The package is also labeled not for sale to those under the age of 18.*
Recommended dosage schedule for Nicotine Polacrilex Gum is provided in three steps: STEP 1 for 2 hours, STEP 2 for 2 to 4 hours and STEP 3 for 4 to 8 hours. The product is made in Denmark. However, the last line contains unreadable characters and is not available for interpretation.*
This is a Wallet Card that includes emergency contact numbers for help. It provides contact numbers for organizations such as the American Lung Association, American Cancer Society, and American Heart Association for individuals who may need their assistance.*
This is a guide for using a nicotine replacement therapy in three steps. It specifies the number of pieces to take every few hours at the beginning of Week #1, Week #7 (Quit Date), Week #10 and 12 weeks after the Quit Date. However, no specific details are provided on what the product is and its benefits.*
* 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.