Product Images Amazon Basic Care Nicotine Polacrilex
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Amazon Basic Care Nicotine Polacrilex NDC 72288-623 by Amazon.com Services Llc, 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.
figure - nicotine fig1
This text provides a reminder for a step-by-step process to follow for a quit smoking schedule, including the frequency of using lozenges at different stages of the journey. It suggests placing reminders on the calendar at specific points, such as the beginning of week 1 before quitting, week 7 of quitting, and 12 weeks after the quit date.*
figure - nicotine fig2
This text is a wallet card providing contact information for support services for quitting smoking, including the American Lung Association, American Cancer Society, and American Heart Association. It also suggests having a quitting buddy or friend who has quit to support the individual in their journey to quit smoking. There is a reference number, P1530140, at the bottom of the card.*
PACKAGE LABEL.PRINCIPAL DISPLAY PANEL - 2 mg (24 Lozenges, Container Label) - nicotine fig3
This is a product label for nicotine lozenges distributed by Amazon.com Services LLC. The label provides detailed instructions on how to use the lozenges, including directions for dissolving the lozenge in the mouth and guidelines on dosage. It includes safety precautions for keeping the product away from children and pets, as well as information on what to do in case of overdose. The label also includes company information, the manufacturing location, and the statement that the product is gluten-free.*
PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 2 mg (144 Lozenges, Container Carton Label) - nicotine fig4
* 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.
