Product Images Geodon

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Geodon NDC 53808-0252 by State Of Florida Doh Central Pharmacy, 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.

Principal Display Panel - 20 mg Label - Geodon 20mg(Pfizer)

This is a prescription medicine with a quantity of 30 capsules. The lot number is 186477A from Peizer. The lot number for £CH is 3182008. The expiration date is 09/30/2010 and is intended for internal use. The pharmacy which processed the prescription is DOH Centray Pharmacy located in Teishassee, FL 32304.*

Principal Display Panel - 40 mg Label - Geodon 40mg(Pfizer)

Principal Display Panel - 60 mg Label - Geodon 60mg(Pfizer)

This is a prescription drug called Geodon that comes in a capsule form. The package contains 30 capsules and is manufactured by Pfizer. The package has a lot number of 1864774 and the capsule itself has a lot number of 03182090X. The expiration date is 0S302010 and the drug was packaged by DOH Cantral Pharmacy in Tallahassee, FL. The UPC code for this product is 300453360606.*

Principal Display Panel - 80 mg Label - Geodon 80mg(Pfizer)

Geodon is a prescription medication in capsule form manufactured by Pfizer. It comes in a bottle containing 30 capsules, and the lot number is 188417TA. The prescription is available only with a doctor's prescription. The label also includes a UPC code and indicates that it was packaged by COH Central Pharmacy in Tallahassee, FL. The expiration date is September 30, 2010.*

Chemical Structure - geodon 01

Logo - geodon 02

This text indicates that the item being distributed is by Roerig, a division of Pfizer Inc., located in New York City with a zip code of 10017.*

* 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.