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 43353-799 by Aphena Pharma Solutions - Tennessee, 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.

Bottle Label 1mg - 43353 277

Bottle Label 1mg - 43353 277

Clonazepam is a medication that comes in a bottle of 15 tablets with 1mg of active ingredient. The medication is manufactured by Vintage Pharmaceuticals Inc and repackaged by Aphen Pharma in Cookeville, TH. The medication is identified by the Lot No. N 43353-0277-1 and Batch No. 2 with an expiry date of 'O Ex=5Z'. The pack should be stored between 20.25 degrees C (68-77 degrees F) and in a controlled room temperature. The manufacturer warns that the medication may be addictive and should be kept out of the reach of children. The pack should be kept in an airtight container as defined by USP.*

Bottle Label 2mg - 43353 799

Bottle Label 2mg - 43353 799

This is a description of Clonazepam tablets. The tablets come in a bottle of 45 and contain 2mg of Clonazepam. The medication is labeled with a warning that it may be habit-forming. It should be stored at room temperature, between 20-25 degrees Celsius (68-77 degrees Fahrenheit). The medication should be kept in a tightly sealed container and out of reach of children. The manufacturer is Vintage Pharmaceuticals Inc, located in Huntsville, AL, and it was repackaged by Aphen Pharma, based in Cookeville, TN. The batch number is 2, and the lot number is N 43353-0799-4.*

Aphena Pharma Solutions - TN - Aphena

Aphena Pharma Solutions - TN - Aphena

This is an image of the structural formula for Clonazepam. - clonazepam 1

This is an image of the structural formula for Clonazepam. - clonazepam 1

* 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.