Product Images Eribulin Mesylate
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Product Label Images
The following 5 images provide visual information about the product associated with Eribulin Mesylate NDC 0143-9167 by Hikma Pharmaceuticals Usa 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 PACKAGE - Eribulin Mesylate Injection 1 mg/2 mL Carton - eribulin carton

This is a description of a medication called Eribulin Mesylate Injection, with a concentration of 1 mg/2 mL (0.5 mg/mL). It is a cytotoxic agent used for intravenous administration. The medication comes in single-dose vials, and any unused portion should be discarded. The text also includes details about dosage and usage instructions. The medication is manufactured for Qilu Pharmaceutical Co. in China and distributed by Sandoz Inc. in the United States. The product is labeled with a GNTI barcode and a specific product code.*
figure 1 - eribulin fig1

This is a table showing the survival rates of patients receiving Eribulin Mesylate Injection (N=508) compared to the control group (N=258) over a period of 36 months. The data includes the number of patients at risk at different time points. The information is structured to track the proportion of patients alive over time in both groups.*
PRINCIPAL DISPLAY PACKAGE - Eribulin Mesylate Injection 1 mg/2 mL Vial Label - eribulin vial

This text provides information about a medication called Eribulin Mesylate Injection, containing 1mg/2mL (0.5mg/mL). It is to be stored at room temperature and intended for intravenous use. The medicine is produced in China and distributed by Jiangxi Qingleng Pharmaceutical Co.Ltd. and Hikma Pharmaceuticals USA Inc. for single-dose vial use. The dosage and usage instructions are specified, including a caution about color agents. The text also mentions the need to discard any unused portion and to avoid freezing.*
* 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.