Product Images Betamethasone Sodium Phosphate And Betamethasone Acetate
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Product Label Images
The following 5 images provide visual information about the product associated with Betamethasone Sodium Phosphate And Betamethasone Acetate NDC 0517-0720 by American Regent, 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.
Structural Formula - betamethasone sodium phosphate and betamethasone a 1
Structural Formula - betamethasone sodium phosphate and betamethasone a 2
Container Label - betamethasone sodium phosphate and betamethasone a 3
This is a description of a medication called Betamethasone Sodium Phosphate and Betamethasone Acetate, which is an injectable suspension for intralesional, intrabursal, and intradermal use. The medication is not intended for intravenous use and should be protected from light and stored at a temperature of 20-25°C. It comes in a 5 mL multiple-dose vial and is sterile.*
Carton Labeling - betamethasone sodium phosphate and betamethasone a 4
This is a medication description for Betamethasone Sodium Phosphate and Betamethasone Acetate Injectable Suspension, USP containing 3mg of betamethasone acetate and 3.4 mg of monobasic sodium phosphate per mL of aqueous suspension. It is not for intravenous use and should be shaken well before use. It is to be protected from light and stored between 68°F to 77°F. The usual dosage should be consulted in the package insert. The NDC number is 0517-072001.*
Serialization Label - betamethasone sodium phosphate and betamethasone a 5
This appears to be a product label or testing tag for a product with the GTIN (Global Trade Item Number) of 00305170720018. The lot number is "TEST" and the expiration date is "11 2020." However, there is not enough information to determine what the product is or its purpose.*
* 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.