Product Images Berkley And Jensen Nicotine
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Product Label Images
The following 7 images provide visual information about the product associated with Berkley And Jensen Nicotine NDC 68391-344 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 an advertisement for Berkley Jensen Nicotine Lozenges, which are meant to aid in quitting smoking. Each package includes 21 mint-flavored lozenges containing 2mg of nicotine polacrilex. The product comes with a user's guide and is intended for individuals who smoke their first cigarette more than 30 minutes after waking up. The package contains 7 QuitTube® containers, with each container holding 27 lozenges.*
This appears to be a schedule for reminders related to quitting smoking, specifically for using lozenges as part of a "step 3" program. It suggests consuming 1 lozenge every 1-2 hours in the first week of cessation, tapering to 1 lozenge every 4-8 hours by week 7. By week 10, the frequency is not specified but a reminder is given for continuing the program up to 12 weeks after quitting.*
The text describes a wallet card containing a list of phone numbers to call for help. The phone numbers provided are for the American Lung Association, the American Cancer Society, the American Heart Association, and a "quitting buddy" or friend who has quit smoking.*
This text appears to be incomplete and nonsensical. It is not possible to provide a useful description with this information.*
The text "100" and "EXAMPLE" suggest that this may be a sample or placeholder document. The text "UPC ONLY" and "67890 5" may indicate a unique product code, but without further information, it is not possible to determine what product or company this refers to. Therefore, a useful description cannot be generated.*
* 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.