Product Images Plerixafor
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Plerixafor NDC 72205-249 by Novadoz Pharmaceuticals 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.
plerixafor-injection-carton-label - plerixafor injection carton label
This text is a description of a medication called "Plerixafor". The medication is a sterile solution that is administered through subcutaneous injection. Each mL of the solution contains 20 mg of plerixafor. The medication is manufactured by MSN Laboratories Private Limited in India. The package insert should be consulted for dosage and administration instructions. The medication is distributed by Novadoz Pharmaceuticals LLC. It is important to discard any unused portion of the single-dose vial and store the medication at the recommended temperature. The medication does not contain any preservatives. The text includes contact information for Novadoz Pharmaceuticals LLC.*
plerixafor-injection-vial-label - plerixafor injection vial label
This text provides information about a medication called Plerixafor. It is an injectable drug that is intended for subcutaneous use only. The medication is distributed by Novadoz Pharmaceuticals LLC, located in Piscataway, NJ. The product is identified by the NDC code 72205-249-01. The text also includes the contact information for Novadoz Pharmaceuticals, with a phone number provided as 855-NOVADOZ. The manufacturing of the medication is done by MSN Laboratories Private Limited, located in Telangana, India. Overall, this text provides valuable information about the medication Plerixafor, its usage instructions, and the companies involved in its distribution and manufacturing.*
plerixafor-structure - plerixafor structure
* 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.