Product Images Sotalol Hydrochloride
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Product Label Images
The following 8 images provide visual information about the product associated with Sotalol Hydrochloride NDC 69584-843 by Oxford 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.
69584-841-10 - 69584 841 10
69584-842-10 - 69584 842 10
This is a description of a medication called "Sotalol P Hydrochloride". It comes in the form of 100 tablets and is available only with a prescription. The manufacturer of the medication is Oxford Pharmaceuticals, LLC.*
69584-843-10 - 69584 843 10
This is a description of a medication. The medication is Sotalol Hydrochloride, in tablet form. The package contains 100 tablets, and the manufacturer is Oxford Pharmaceuticals, LLC, based in Birmingham, Alabama. The product details include the NDC number, dosage, prescription requirements, and manufacturing date/address. There is also a serialization area and a unique product serial number.*
69584-844-10 - 69584 844 10
This is a description of a bottle of Sotalol Hydrochloride Tablets, USP manufactured by Oxford Pharmaceuticals LLC containing 100 tablets. The bottle has a unique serial number printed on it. The rest of the text appears to be illegible or gibberish.*
Age about 2 years or younger - age factor
Figure 2 - figure2
The text shows the p-value for Recurrence-Free Survival (RFS) for the comparison between Oral Sotalol and Placebo in doses of 80mg, 120mg, and 160mg. This information suggests that these are the p-values for different dose groups in a clinical trial, where a lower p-value suggests a significant difference between the treatment and placebo groups. Therefore, this information is relevant for evaluating the efficacy of Oral Sotalol.*
Figure 3 - figure3
Molecular Structure - molecularstructure
* 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.