Product Images Members Mark Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Members Mark Nicotine NDC 68196-873 by Sam's West Inc, 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.

Stickers - export 00

Stickers - export 00

This is a reminder to ex-smokers to place the following events on their calendars: at the beginning of Week #1 (Quit Date), take 1 lozenge every 1 to 2 hours for Step 1; at the beginning of Week #7, take 1 lozenge every 2 to 4 hours for Step 3; and at the beginning of Week #10 (Quit Date), take 1 lozenge every 4 to 8 hours. The last reminder is for 12 weeks after quitting.*

Wallet Card - image 01

Wallet Card - image 01

Wallet Card - image 02

Wallet Card - image 02

This is a description of a wallet card, likely containing emergency contact information or resources for individuals seeking help in quitting smoking or managing heart and lung-related illnesses. The card provides phone numbers for the American Lung Association, American Cancer Society, and American Heart Association. In addition, it suggests seeking support from a quitting buddy or friend who has successfully quit smoking.*

Smoke Free Logo - image 03

Smoke Free Logo - image 03

UPC Example - image 04

UPC Example - image 04

image 05

image 05

This is a pack of Member's Mark Nicotine Polacrilex Lozenges containing 216 pieces of 4mg nicotine lozenges enclosed in 8 Quitube containers of 27 lozenges each. These lozenges are meant for individuals who smoke their first cigarette within 30 minutes of waking up. Additionally, it is stated to compare this product with Nicorette Lozenge Active Ingredient*. However, there is some unreadable text in the product information.*

image 06

image 06

* 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.