Product Images Clonazepam
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Clonazepam NDC 59651-722 by Aurobindo Pharma Limited, 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.
PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 0.5 mg (100 Tablets Bottle) - clonazepam fig1
This is a medication label. The medication is Clonazepam in the form of tablets, with a strength of 0.5 mg. It is produced by Aurobindo Pharma USA, Inc. The usual dosage details and storage instructions are provided. The label also contains a drug code and a website address for additional medication guides. The GTIN, Serial Number, Expiry Date, and LOT will be printed during packaging.*
PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 1 mg (100 Tablets Bottle) - clonazepam fig2
NDC 59651-723-01 is a prescription-only medication called Clonazepam that is available in tablet form. Each tablet contains 1 mg of Clonazepam, and is distributed by Aurobindo Pharma USA, Inc. It comes in a child-resistant packaging, and this guide provides some information for the patient. The text seems to be from the label of the medication packaging.*
PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 2 mg (100 Tablets Bottle) - clonazepam fig3
This is a prescription for Clonazepam tablets, USP. The tablets contain 2mg of Clonazepam, and the bottle contains 100 tablets. The medication is manufactured by Aurobindo Pharma USA and distributed by Aurobindo. The bottle should be kept tightly closed and stored at 20°C to 25°C, and out of reach of children. There are dosage instructions included and printed information guides are available on the manufacturer's website. There is also information about the packaging and printing that should not be included in the final product.*
Chemical Structure - clonazepam str
* 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.