Product Images Raxibacumab

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Product Label Images

The following 2 images provide visual information about the product associated with Raxibacumab NDC 71655-103 by Emergent Manufacturing Operations Baltimore 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.

Raxibacumab 35 mL Carton Label - raxibacumab spl graphic 01

Raxibacumab 35 mL Carton Label - raxibacumab spl graphic 01

Raxibacumab is an injection that contains 1700mg of raibacumab, used for intravenous infusion, which must be diluted prior to use. The contents include sucrose, pobsorbato 8, itc acid, and Ghcine. This injection has 50 mg/mL and comes in a 34mL single use vial. Refrigeration is essential at 2 08°C(10 46°). If the plastic overlaps or is not properly fitted, the injection should not be accepted or used. The dosage and administration details are included in the prescribing information, and additional information can be obtained by calling 1-800-768-230. The manufacturer is the Emergent Manufacturing Operations Baltimore LLC, and the drug has a Pharma code N* 6442.*

Raxibacumab 35 mL Vial Label - raxibacumab spl graphic 02

Raxibacumab 35 mL Vial Label - raxibacumab spl graphic 02

Raxibacumab Injection is a pharmaceutical product that comes in a Miniature of 1700 mg/34 mL (50 mg/mL) and is for intravenous infusion. Before using it, it must be diluted first and it comes in a single-use vial that should be discarded after use. The prescription should be checked for the dilution and usage information. It should be stored in 2° to 8°C (36° to 46°F) and protected from light by retaining it in the original package until use. The manufacturer of this product is Emergent Manufacturing Operations Baltimore LLC and is located in Baltimore, MD 21224. The NDC number is 7165510301, and the Pharma Code Ref No is 8152.*

* 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.