Product Images Alprazolam
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 8 images provide visual information about the product associated with Alprazolam NDC 51991-705 by Breckenridge Pharmaceutical, 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.
Chemical Structure - alprazolam 01
Figure - alprazolam 02
Figure - alprazolam 03
Figure - alprazolam 04
PRINCIPAL DISPLAY PANEL - 0.25 mg Tablet Bottle Label - alprazolam 05
This is a medication package for Tatcontans tablets, USP with a lot number of 1234567. The GTIN is also provided for product identification purposes.*
PRINCIPAL DISPLAY PANEL - 0.5 mg Tablet Bottle Label - alprazolam 06
This appears to be the label of a medication package named "Nirozoom 555". Each Taitcortans tablet has NDC 51991705.01 and contains Alprazolam USP in a strength of 5renioetio s, which is used to manage anxiety disorders. The package has a lot number 1234567 and expiration date MMIYYYY. The manufacturer is Ol B Pharmaceicl and the product has a GTIN of 0035191705017.*
PRINCIPAL DISPLAY PANEL - 1 mg Tablet Bottle Label - alprazolam 07
This appears to be a product label with information such as the GTIN (Global Trade Identification Number), SN (serial number), expiration date, lot number, drug information, and NDC (National Drug Code). However, the text has been heavily distorted by the process and some parts are illegible.*
PRINCIPAL DISPLAY PANEL - 2 mg Tablet Bottle Label - alprazolam 08
This is a description of Alprazolam Tablets, USP having National Drug Code 51991707-01. The tablets were manufactured in lot number 1234567 with an expiration date of MMIYYYY. The product has a global trade item number of 0035199170701 and a serial number XXOKIO0KKNKX. Other details like dosage and quantity are not available in the given text.*
* 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.