Product Images Prevacid

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Prevacid NDC 54868-5795 by Physicians Total Care, 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.

PRINCIPAL DISPLAY PANEL - 15 mg Capsules - 15mg Capsule package label

PRINCIPAL DISPLAY PANEL - 15 mg Capsules - 15mg Capsule package label

This is the label of a medication called "Prevacid" with a strength of 15mg. The lot number and expiration date are indicated on the label. The medication is associated with a group of physicians called BIST SRIPHYSICIANS who provide total care. The National Drug Code (NDC) is also provided for identification.*

PRINCIPAL DISPLAY PANEL - 15 mg SoluTab - 15mg Tablet package label

PRINCIPAL DISPLAY PANEL - 15 mg SoluTab - 15mg Tablet package label

This is a label of a medication called Prevacid Solutab which is distributed by Physicians Total Care. The National Drug Code (NDC) is 5486857950. The medication comes in a 1 SHG form and the label also provides information about the Lot number, which is 01468, and the expiration date.*

PRINCIPAL DISPLAY PANEL - 30 mg Capsules - 30mg Capsule package label

PRINCIPAL DISPLAY PANEL - 30 mg Capsules - 30mg Capsule package label

PRINCIPAL DISPLAY PANEL - 30 mg SoluTab - 30mg Tablet package label

PRINCIPAL DISPLAY PANEL - 30 mg SoluTab - 30mg Tablet package label

This is a label for a package of the medication Prevacid Solutab. It was distributed by Physicians Total Care and has an NDC code of 54868-5303-0. The lot number is not clearly readable, but the expiration date is listed as 01/60.*

Chemical Structure - prevacid 01

Chemical Structure - prevacid 01

Figure - prevacid 02

Figure - prevacid 02

Figure - prevacid 03

Figure - prevacid 03

* 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.