Publication

Article

Supplements and Featured Publications
Improving Outcomes With Opioid Use: Focus on Drug-Drug Interactions
Volume 17
Issue 11 Suppl

Management of Drug-Drug Interactions: Considerations for Special Populations&#151Focus on Opioid Use in the Elderly and Long Term Care

Elderly patients and residents in long term care facilities requiring pain medication often have multiple pharmacologic and physiologic factors that can impact the choice of analgesic. One particular problem with prescribing opioids to the elderly and long term care residents is that opioid safety and efficacy have not been well studied in these populations, and it may be difficult to predict how these patients will respond to opioid treatment. As people age, numerous physiological changes occur, which may affect opioid pharmacokinetics and the potential for drug-drug interactions (DDIs). Long term care residents include the elderly but also include many younger patients who require assistance for a variety of reasons, such as physical or mental disability. Many elderly and long term care patients have cognitive deficits that impede communication about their pain, thus making detection of opioid DDIs more difficult. Knowledge of the patient’s medical history and current prescriptions can help guide the pain management team in the selection of treatment, help minimize the risk of DDIs, and provide these patients with the pain relief they require. There are several practice management recommendations for opioid therapy in the elderly and long term care residents, with the goal of optimizing analgesia while avoiding adverse events and drug interactions.

(Am J Manag Care. 2011;17:S293-S298)

Elderly patients requiring pain medication often have multiple pharmacologic and physiologic factors that can impact the choice of analgesic. This is also true for residents in long term care facilities. The choice of analgesic for these patients should balance the efficacy and safety issues for each analgesic.1 If the pain is moderate to severe, an opioid is a viable option for these patients. One particular problem with prescribing opioids to the elderly and long term care residents is that opioid safety and efficacy have not been well studied in these populations. Studies of opioid therapy usually restrict study participants to adults with few medical conditions in order to limit confounding factors. However, many elderly and long term care residents have multiple medical conditions and compromised renal/hepatic function, and take multiple medications. As a result, it may be difficult to predict how these patients will respond to opioid treatment. Most guidelines and clinical studies focus on the central nervous system and gastrointestinal adverse effects of opioid treatment. In the elderly and long term care residents taking multiple medications, the potential for cytochrome P (CYP) 450 interactions should also be considered.1-9

Risk Factors for Opioid Pharmacokinetic Drug-Drug Interactions in Specific Populations

The Elderly

On average, an elderly person takes 7 medications, and it is estimated that 46% of the elderly are at risk for at least 1 drug-drug interaction (DDI).10 Clinically significant DDIs may involve alterations in CYP450 metabolism.11-13 Also, as people age, numerous physiological changes occur, which may also affect opioid pharmacokinetics and DDIs. For example, hepatic and renal functions decline as people age, and this can significantly impact opioid pharmacokinetics.1,4,8,9 Pergolizzi (2008)4 noted that after the age of 50, there is a 1% decrease in the cardiac index each year, due to a variety of cardiovascular changes. Cardiovascular changes may impact renal and/or hepatic function and therefore pharmacokinetics.4 In patients with impaired renal function, the half-lives of many opioids and their active metabolites are increased and it is recommended that dosages be reduced accordingly. For example, oxycodone and its metabolites are excreted primarily via the kidney; plasma oxycodone concentrations are approximately 50% higher in patients with renal impairment (creatinine clearance <60 mL/min) than in subjects with normal renal function.14 In patients with impaired hepatic function, reduced hepatic mass and blood flow, plus reduced levels of CYP450 isoenzymes (which are required for the metabolism of many drugs), can alter concentrations of opioids in the circulation.

Some opioids are prodrugs, inactive (or significantly less active) drugs that require metabolism in the body to form an active metabolite.13 When the opioid pain medication is a prodrug, a decrease in levels of specific CYP450 isoenzymes may attenuate efficacy. For example, the CYP2D6 isoenzyme metabolizes the prodrugs hydrocodone, codeine, and dihydrocodeine to their active metabolites (hydromorphone, morphine, and dihydromorphine, respectively). A patient’s reduced CYP2D6 activity may result in lower levels of the prodrug’s active metabolite and thus reduced efficacy.15

CYP450 metabolism plays a role in certain opioid DDIs. Many frequently used medications interact with the CYP450 system.2,11,12,16-18 Table 12,16-18 provides a list of common medications that can inhibit or induce CYP450 isoenzymes associated with metabolism of opioids. For example, a patient taking an opioid that requires metabolism by CYP2D6 (eg, codeine, hydrocodone, or tramadol) should not be prescribed a strong CYP2D6 inhibitor (eg, the antidepressants fluoxetine or paroxetine). Combining tramadol with fluoxetine can lead to both serotonin syndrome (a potentially lifethreatening elevation of serotonin levels) and loss of pain relief, because tramadol’s analgesic effect is primarily due to its active M1 metabolite.19

Some patients may be taking CYP450 inducers, such as rifampin and carbamazepine, which may increase the metabolism of some opioids and decrease analgesic effect. In this situation, an increase in the dose of the opioid may be necessary.20

The changes in CYP450 isoenzymes may also impact the pharmacokinetics of other CYP450-dependent medications. As discussed in the other manuscripts in this supplement, polypharmacy for multiple medical conditions is common in the elderly.8,9,21 The more medications the patient takes, the greater the risk of DDIs, including those involving opioids.4,8,9,21

In addition to the hepatic and renal changes in the elderly, other physiological factors affect how the elderly respond to opioids and can increase susceptibility to DDIs. For example, opioids can lead to delirium, hallucinations, and cognitive problems, especially in patients with dementia or brain injury.9 Also, elderly patients with cardiovascular, cerebrovascular, or respiratory disease (and smokers) are more susceptible to respiratory depression, bradycardia, and hypotension.4,9 Cancer, diabetes mellitus, and other illnesses can also impact opioid pharmacokinetics and efficacy/safety profile.9

Finally, communication problems that often occur with the elderly have the potential to impact adherence. Many elderly patients may be confused about the medications they are prescribed and hesitant to tell their doctor(s) that they are confused.22 The fact that many elderly patients see multiple clinicians can further limit open dialogue and/or lead to further confusion on the part of patients and limit their ability to properly discuss all their prescriptions. Because of this confusion, some patients may not adhere to treatment, resulting in limited efficacy. Adverse events may also occur in the elderly due to poor adherence to treatment. Gurwitz et al (2003)23 noted that 21% of preventable adverse events among elderly patients in an ambulatory setting could be attributed to poor adherence. Poor adherence is not limited to the patient forgetting to take a medication. It can mean taking the wrong dose, continuing to take medication despite instructions by the physician to discontinue drug therapy, refusing to take a needed medication, continuing to take a medication despite recognized adverse effects or drug interactions known to the patient, or taking another person’s medication. All of these can lead to preventable adverse events and can also lead to further confusion as to the treatment efficacy of the prescribed medications.

Long Term Care Residents

Long term care residents include the elderly but also include many younger patients who require assistance for a variety of reasons, such as physical or mental disability.24 As with the elderly, many long term care residents have compromised physiology that impacts the pharmacokinetics of their medications, as well as multiple medical conditions and multiple medications that can impact opioid treatment. Long term care residents may have conditions that affect absorption (eg, Crohn’s disease), compromise hepatic function (eg, hepatitis or cirrhosis), or contribute to kidney failure (eg, diabetes, some autoimmune diseases).

Long term care residents may also be unable to properly communicate their medical history. This may contribute to prescription discrepancies when a person transfers to a long term care facility. A cross-sectional study by Tjia et al (2009)25 of 1999 patients entering a nursing home found that 71% had at least 1 prescription discrepancy (eg, omission of drug, or change in dose, frequency of administration, and/or route of administration). Fortunately, medication reconciliation can correct these errors in most cases. High rates of discrepancies have also been observed in other studies.21,26-28

Potentially inappropriate use of medications is also fairly common in long term care facilities, and this can interfere with the safety and efficacy of other medications such as opioids. For example, antipsychotic medications may be used to help manage patients with behavioral problems. One study of residents newly admitted to nursing homes in 2006 found that 29% of residents were prescribed an antipsychotic medication; of these residents, 32% had no identified clinical indication for this therapy.29 Inappropriate use of medications may even reflect an unnoticed DDI that resulted in inadequate pain control. Many elderly and long term care patients have cognitive deficits that impede communication about their continued (or returning) pain, thus making detection of an opioid DDI more difficult after the fact. These patients may express their pain through agitation or other behavioral changes, which can lead to prescription of antipsychotics or other medications that do not solve the problem of analgesic failure.

Practical Challenges

There are 2 major challenges when prescribing an opioid to a patient taking multiple medications: 1) determining if there is the potential for a significant direct pharmacokinetic DDI, and 2) determining if the opioid’s efficacy/safety profile may be compromised by the additive or antagonistic effect of another drug (a pharmacodynamic interaction).

Regarding the first challenge, studies by Pergolizzi and colleagues (2010, 2011)6,7 observed that 26% to 27% of elderly patients taking opioids for either osteoarthritis or low back pain were at risk for a DDI.

With regard to the second challenge, opioid medications can impact other organs, making the safety and efficacy of opioids difficult to predict, especially in the elderly, who may have the function of many organ systems compromised. Unfortunately, it is often tricky to ascertain the root cause or causes of an adverse event. For example, if a person falls, the cause may be dizziness from a DDI, clumsiness from unfamiliarity with their new nursing home environment, confusion as a result of high opioid levels, vision problems, or a combination of several factors. Table 2 provides a list of questions to help clinicians detect possible DDIs30; another tool for the evaluation of potential interactions has also been published.31

Practice Management Recommendations

Start low, go slow. The goal of providing opioid therapy to the elderly is to optimize analgesia while avoiding adverse events and drug interactions.4,5,9,32-35 Many pain management experts recommend an approach to opioid treatment that involves 1) slow titration, 2) lower total doses, and 3) anticipation of a longer duration of action.

As stated earlier, the aging process and other medications can interfere with opioid metabolism. Because elderly patients often metabolize opioids more slowly, a lower dosage is needed and the duration of action is extended.

Patients with renal or hepatic failure are particularly susceptible to opioid adverse events due to changes in opioid metabolism or elimination. The start low, go slow approach is particularly important for these patient populations.

Identify all medications, with a focus on medications that alter CYP450 activity. Before initiating opioid treatment, the pain management team must know all the prescriptions the elderly patient or long term care resident is taking. A thorough assessment of all medications should be conducted and effort should be made to reduce the number of medications if possible. Specifically, the team should ascertain whether any CYP450-interacting medications are required by the patient. If a CYP450-dependent DDI is anticipated, then they should consider an opioid that is not metabolized by the CYP450 system (morphine, hydromorphone, or oxymorphone). An alternative for the nonanalgesic drug may also be selected. However, it may not be ideal to change long-term, regular medications that require maintenance at particular therapeutic levels for a given patient. Individualization of patient care is key.

Consider route of administration

. Each route of administration has its own considerations. The pharmacokinetics, costs, and patient’s preference need to be discussed prior to administration. Elderly patients susceptible to nausea and vomiting, such as those undergoing oncologic treatment, may not be able to take oral medications and thus may require an alternate route of administration; this may impact the choice of opioid. The route of administration of an opioid can also affect drug interactions. A drug that does not undergo first-pass metabolism through the liver (ie, is not taken orally) may have less potential for CYP450 interaction. Thus, routes including intravenous, rectal, and buccal administration may have less potential for interaction and resulting adverse effects than oral administration.

Avoid errors

. Prescribing an opioid with a potentially interacting drug may be due to a medical error, which may occur for the same reason as many other medical errors: incomplete communication. Patient transitions from acute to long-term care or hospital to outpatient care are fraught with risk of incomplete communication among providers. Future use of universal electronic medical record (EMR) systems may decrease errors of incomplete communication. These systems, which contain a patient’s complete prescription list and medical and drug history, can provide prompts that alert clinicians to interaction potentials when they enter a new prescription.36 Currently, however, few elderly and long-term care patients can be expected to have their entire history in an EMR. In the absence of a lifelong medical record, prescribers should obtain the input of a patient advocate (family caregiver, nurse care coordinator, etc) with knowledge of all of the patient’s current prescriptions as well as the patient’s complete medical and drug history.

Follow-up

. Finally, patients should be closely monitored after initiating any new drug in the medical regimen. In all situations with opioids, the care team should monitor the patient closely to assess the effects of the pain medication, the ongoing effects of previous medications, and any changes in effects that may reflect interactions. Regardless of whether interactions are anticipated, close monitoring is essential with the powerful opioid drug class and these particularly vulnerable populations. With many opioid preparations available, prescribers need not settle for inadequate pain relief or severe adverse effects; however, they should expect dosage adjustments and possible changes of agent or route of administration.

Conclusion

Prescribing an opioid to an elderly patient or a long term care resident with multiple medical conditions and multiple medications can be complicated. Also, other factors, such as communication problems, poor adherence, inappropriate prescription, and poor continuity of care, may impact opioid therapy. Treatment guidelines for pain management often focus on the central and gastrointestinal adverse effects of opioid therapy. Clinicians should also take into account the potential for CYP450 interactions when initiating opioid therapy. Knowledge of the patient’s medical history and current prescriptions can help guide the pain management team in the selection of treatment, to help minimize the risk of DDIs and provide these patients with the pain relief they require.

Author Affiliation: Department of Family and Community Medicine, Eastern Virginia Medical School, Norfolk, VA.

Funding Source: This supplement has been supported by funding from Endo Pharmaceuticals.

Author Disclosure: Dr Lynch reports no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this supplement.

Authorship Information: Concept and design; acquisition of data; analysis and interpretation of data; drafting of the manuscript; critical revision of the manuscript for important intellectual content.

Address correspondence to: Tom Lynch, PharmD, BCPS, Associate Professor, Eastern Virginia Medical School, 651 Colley Ave, Room 323, Norfolk, VA 23507. E-mail: lyncht@evms.edu.

  1. Reisner L. Pharmacological management of persistent pain in older persons. J Pain. 2011;12:S21-S29.
  2. Armstrong SC, Cozza KL. Pharmacokinetic drug interactions of morphine, codeine, and their derivatives: theory and clinical reality, Part II. Psychosomatics. 2003;44:515-520.
  3. Campbell CI, Weisner C, Leresche L, et al. Age and gender trends in long-term opioid analgesic use for noncancer pain. Am J Public Health. 2010;100:2541-2547.
  4. Pergolizzi J, Boger RH, Budd K, et al. Opioids and the management of chronic severe pain in the elderly: consensus statement of an International Expert Panel with focus on the six clinically most often used World Health Organization Step III opioids (buprenorphine, fentanyl, hydromorphone, methadone, morphine, oxycodone). Pain Pract. 2008;8:287-313.
  5. Pergolizzi JV, Raffa RB, Gould E. Considerations on the use of oxymorphone in geriatric patients. Expert Opin Drug Saf. 2009;8:603-613.
  6. Pergolizzi JV Jr, Labhsetwar SA, Puenpatom RA, Joo S, Ben- Joseph R, Summers KH. Exposure to potential CYP450 pharmacokinetic drug-drug interactions among osteoarthritis patients: incremental risk of multiple prescriptions. Pain Pract. 2011;11(4):325-336.
  7. Pergolizzi JV Jr, Labhsetwar SA, Puenpatom RA, Joo S, Ben- Joseph RH, Summers KH. Prevalence of exposure to potential CYP450 pharmacokinetic drug-drug interactions among patients with chronic low back pain taking opioids. Pain Pract. 2011;11:230-239.
  8. Schmader KE, Baron R, Haanpaa ML, et al. Treatment considerations for elderly and frail patients with neuropathic pain. Mayo Clin Proc. 2010;85:S26-S32.
  9. Smith H, Bruckenthal P. Implications of opioid analgesia for medically complicated patients. Drugs Aging. 2010;27:417-433.
  10. Bjorkman IK, Fastborn J, Schmidt IK, Bernsten CB; the Pharmaceutical Care of the Elderly in Europe Research Group. Drug-drug interactions in the elderly. Ann Pharmacother. 2002;36(11):1675-1681.
  11. Drug Topics. 2010 top 200 generic drugs by total prescriptions. http://drugtopics.modernmedicine.com/drugtopics/data/articlestandard//drugtopics/252011/727243/article.pdf. Published June 2011. Accessed July 21, 2011.
  12. Drug Topics. 2010 top 200 branded drugs by retail dollars. http://www.modernmedicine.com/modernmedicine/data/articlestandard/drugtopics/252011/727252/article.pdf. Published June 2011. Accessed July 21, 2011.
  13. Lynch T, Price A. The effect of cytochrome P450 metabolism and drug response, interactions, and adverse effects. Am Fam Physician. 2007;76:391-396.
  14. Oxycontin [prescribing information]. Stamford, CT: Purdue Pharma, LP; 2010.
  15. Smith HS. Opioid metabolism. Mayo Clin Proc. 2009;84(7):613-624.
  16. Lacy CF, Armstrong LL, Goldman MP, Lance LL. Drug Information Handbook. 19th ed. Hudson, Ohio: Lexi-Comp, Inc; 2010.
  17. Flockhart DA. Drug interactions: cytochrome P450 drug interaction table. Indiana University School of Medicine. http:// medicine.iupui.edu/clinpharm/ddis/table.asp. Published 2007. Accessed June 28, 2011.
  18. US Food and Drug Administration. Drug development and drug interactions: table of substracts, inhibitors and inducers. http://www.fda.gov/Drugs/DevelopmentApprovalProcess/DevelopmentResources/DrugInteractionsLabeling/ucm093664.htm. Published June 2009. Accessed July 21, 2011.
  19. Ultram [prescribing information]. Raritan, NJ: PriCara, division of Ortho-McNeil-Janssen Pharmaceuticals, Inc; 2009.
  20. Cozza KL, Armstrong SC. Concise Guide to the Cytochrome P450 System: Drug Interaction Principles for Medical Practice. Washington, DC: American Psychiatric Publishing; 2001.
  21. Field TS, Gurwitz JH, Avorn J, et al. Risk factors for adverse drug events among nursing home residents. Arch Intern Med. 2001;161:1629-1634.
  22. Manias E, Claydon-Platt K, McColl GJ, Bucknall TK, Brand CA. Managing complex medication regimens: perspectives of consumers with osteoarthritis and healthcare professionals. Ann Pharmacother. 2007;41(5):764-771.
  23. Gurwitz JH, Field TS, Harrold LR, et al. Incidence and preventability of adverse drug events among older persons in the ambulatory setting. JAMA. 2003;289(9):1107-1116.
  24. US Department of Health and Human Services. National clearing house for long term care information. http://www.longterm care.gov/LTC/Main_Site/index.aspx. Accessed July 3, 2011.
  25. Tjia J, Bonner A, Briesacher BA, et al. Medication discrepancies upon hospital to skilled nursing facility transitions. J Gen Intern Med. 2009;24(5):630-635.
  26. Boockvar K, Fishman E, Kyriacou CK, et al. Adverse events due to discontinuations in drug use and dose changes in patients transferred between acute and long-term care facilities. Arch Intern Med. 2004;164(5):545-550.
  27. Boockvar KS, Liu S, Goldstein N, Nebeker J, Siu A, Fried T. Prescribing discrepancies likely to cause adverse drug events after patient transfer. Qual Saf Health Care. 2009;18:32-36.
  28. Coleman EA, Smith JD, Raha D, et al. Posthospital medication discrepancies: prevalence and contributing factors. Arch Intern Med. 2005;165:1842-1847.
  29. Chen Y, Briesacher BA, Field TS, Tjia J, Lau DT, Gurwitz JH. Unexplained variation across US nursing homes in antipsychotic prescribing rates. Arch Inter Med. 2010;170(1):89-95.
  30. Mallet L, Spinewine A, Huang A. The challenge of managing drug interactions in elderly people. Lancet. 2007;370:185-191.
  31. Horn JR, Hansten PD, Chan L-N. Proposal for a new tool to evaluate drug interaction cases. Ann Pharmacother. 2007;41:674- 680.
  32. Mercadante S, Arcuri E. Pharmacological management of cancer pain in the elderly. Drugs Aging. 2007;24:761-776.
  33. Trescot AM, Helm S, Hansen H, et al. Opioids in the management of chronic non-cancer pain: an update of American Society of the Interventional Pain Physicians’ (ASIPP) Guidelines. Pain Physician. 2008;11:S5-S62.
  34. Chou R. 2009 Clinical Guidelines from the American Pain Society and the American Academy of Pain Medicine on the use of chronic opioid therapy in chronic noncancer pain: what are the key messages for clinical practice? Pol Arch Med Wewn. 2009;119:469-477.
  35. Chou R, Fanciullo GJ, Fine PG, et al. Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain. J Pain. 2009;10:113-130.
  36. Sanghavi D. The last of the all-nighters. The New York Times Magazine. August 7, 2011:28-31.
AJMC Managed Markets Network Logo
CH LogoCenter for Biosimilars Logo