Product Images Esmolol Hydrochloride
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Product Label Images
The following 4 images provide visual information about the product associated with Esmolol Hydrochloride NDC 44567-451 by Wg Critical Care, 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.
This is a description of a medication with National Drug Code (NDC) 4456745001, containing a solution of 500mg Esmolol Hydrochloride per 250 mL of sodium chloride injectable solution intended for single intravenous use only. Each milliliter contains 10mg Esmolol Hydrochloride, 5.9mg Sodium Chloride, buffered with 2.8mg Sodium Acetate Trihydrate and 0.546mg Glacial Acetic Acid. It is a sterile, non-pyrogenic solution that is isotonic with no preservative added. The drug should not be used in series connections and should not have additives added to it. It also comes with several cautionary notes, such as checking for leaks in the container, discarding unused portions, not being used if there are leaks and being stored at 25°C with excursions permitted at15°C to 30°C. The medication has been made in Switzerland.*
Esmolol Hydrochloride is a medication used for intravenous use only. This drug is a double strength solution that contains 20mg of Esmolol Hydrochloride USP, 4.1 mg of Sodium Chloride USP, buffered with 2.8 mg of Sodium Acetate Trihydrate USP and 0.546 mg of Glagal Acetic Acd USP. It has a pH of 5.0 and is sterile and non-pyrogenic. This solution is prescribed to patients according to the package insert. To check for leaks, the container must be squeezed firmly, and if any leaks are found, it should be discarded. The solution must not have any additives, and unused portions should be discarded after use. It must be stored at 25°C (77°F), and protection from freezing and excessive heat must be ensured. This product has been produced in Switzerland.*
* 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.