Product Images Lioresal
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 16 images provide visual information about the product associated with Lioresal NDC 58281-562 by Medtronic Neuromodulation, 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.
Lioresal Intrathecal 8562 is a refill kit for use with SynchroMed Infusion Systems. It contains two 5 mL ampules of 10 mg/5 mL (2000 mcg/mL) baclofen injection, drug preparation kit, filter straw tube, extension set with a clamp, and two 22-gauge noncoring needles. The kit requires no refrigeration and should not be stored above 85 °F (30 °C). The contents have been sterilized by ethylene oxide gas. The lot number is 123456789, and the use-by date is 2012-06-29. Individual packages may have three additional use-by dates. The device has no components made of natural rubber latex. Read and follow all enclosed instructions.*
The text describes a radiopaque identifier, which includes the Meditronic symbol and a model designator.*
This text provides instructions on how to align a refill template with a Medtronic SynchroMed EL or SynchroMed Il pump by placing the left and right edges of the template to the corresponding edges of the pump.*
This is a list of medical equipment that includes an empty syringe, a closed clamp, a needle, an extension set, and a template. It also mentions a reservoir fill port marked as 'k \\ s', but the context of the equipment is not clear.*
This appears to be a technical diagram or image labeling different parts of a medical device. The labeled parts include a septum, needle, subcutaneous tissue, and a reservoir fill port. Without additional context or information, it is not possible to determine what specific medical device this pertains to or how it functions.*
* 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.