Product Images Dg Health Nicotine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 11 images provide visual information about the product associated with Dg Health Nicotine NDC 55910-606 by Dolgencorp, 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.

So You Decided To Quit - image 01

So You Decided To Quit - image 01

What to Expect - image 02

What to Expect - image 02

What to Expect - image 03

What to Expect - image 03

Good luck - image 04

Good luck - image 04

Nicotine Gum Dosage Schedule - image 05

Nicotine Gum Dosage Schedule - image 05

The text provides the recommended dosage schedule for Nicotine Polacrilex Gum in three steps. Each step lasts for a different number of weeks and requires taking one piece of gum at specific intervals throughout the day. The product is made in Denmark and is called issbuteasy PEITIZO® g, 500.*

Wallet Card 1.jpg - image 06

Wallet Card 1.jpg - image 06

The text provides information about the Wallet Card which contains emergency contact numbers for American Lung Association, American Cancer Society, and American Heart Association.*

Wallet Card 2.jpg - image 07

Wallet Card 2.jpg - image 07

Smoke Free Habits - image 08

Smoke Free Habits - image 08

UPC Code - image 09

UPC Code - image 09

Leaflet Stickers.jpg - image 10

Leaflet Stickers.jpg - image 10

This appears to be a chart or table with instructions regarding the frequency of taking "1 piece" (presumably referring to a medication or nicotine gum/lozenge) during different stages of a quit smoking program. The frequency varies from every 1 to 2 hours initially to every 4 to 8 hours later on. However, without context or further information, it's difficult to provide a more specific/useful description.*

image 11

image 11

* 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.