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Vol. 281, Issue 3, 1154-1163, 1997
Behavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Abstract |
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We evaluated the human pharmacology of dynorphin A(1-13) and determined whether this peptide can modulate naloxone-precipitated withdrawal effects. Such information could help determine its receptor mechanism of action and whether dynorphin is useful for treating opioid dependence. Six opioid-experienced subjects participated in a within-subject, placebo-controlled design. There were two phases, each with four test sessions. In phase 1, volunteers who were not physically dependent were administered 0, 0.1, 0.32 and 1 mg/kg dynorphin (15-min i.v. infusion) in ascending order, and subjective, observer-rated and physiological effects were monitored. Dynorphin produced brief, dose-related increases in drug effect ratings with both good and bad drug effects reported by different subjects. There were no significant changes in pupil size, respiratory rate, skin temperature, heart rate or blood pressure. These data are consistent with preclinical findings that dynorphin has a short duration of action and does not primarily exert its direct effects through mu-opioid receptors. In four separate sessions of phase 2, acute morphine pretreatment (45 mg/70 kg i.m.) was followed 15 or 18 hr later by dynorphin (0 vs. 1 mg/kg, 15-min i.v.) and then naloxone (1 or 3 vs. 10 mg/70 kg, 5-min i.v.). Under these conditions, dynorphin weakly potentiated naloxone-precipitated withdrawal. These data contrast with those of previous preclinical studies showing dependence-attenuating effects of dynorphin and fail to support its use as an antiwithdrawal agent in humans.
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Introduction |
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Dynorphin
A(1-17) is an
endogenous opioid peptide that is distributed throughout the central
nervous system (Khachaturian et al., 1982
; Maysinger
et al., 1982
), suggesting that it might serve multiple
regulatory functions (Smith and Lee, 1988
). An abbreviated peptide,
dynorphin A(1-13), was synthesized and determined to be equally potent
as the natural substance in vitro (Goldstein et
al., 1979
). Although the effects of shorter residues have been examined (Chavkin and Goldstein, 1981
; Corbett et al., 1982
;
Takemori et al., 1993
; Yoshimura et al., 1982
),
the (1-13) amino acid fragment has been most frequently used by
researchers to study the dynorphinergic pharmacological actions and
biobehavioral effects, and it is the fragment used in the present study
to characterize the effects of dynorphin in human subjects.
Previous research using in vitro assays indicates that
dynorphin A(1-13) is a kappa-selective ligand. Its effects
in guinea pig ileum are reduced after pretreatment with the
kappa-preferring agonist ethylketocyclazocine (Huidobro-Toro
et al., 1981
; Oka et al., 1982
) and demonstrate
selective cross-tolerance to kappa agonists (Huidobro-Toro
et al., 1981
; Wüster et al., 1980
, 1981
; Yoshimura et al., 1982
). In both rhesus monkey and human
brain tissue, dynorphin exhibits >60-fold kappa receptor
binding selectivity (Emmerson et al., 1994
; Pfeiffer
et al., 1981
). The in vivo effects of dynorphin
are also generally kappa-like, but not as reliably so, and
some reports indicate this peptide may act through nonopioid (e.g., NMDA) mechanisms. Early studies found that centrally
administered dynorphin produced both analgesia and paralysis (Herman,
1982
; Herman and Goldstein, 1985
; Przewlocki et al.,
1983
; Spampinato and Candeletti, 1985
); these effects were not
antagonized by naloxone (Long et al., 1988
; Massardier and
Hunt, 1989
; Stevens and Yaksh, 1986
; Walker et al., 1982a
,
1982b
). At subneurotoxic doses, dynorphin analgesia in thermal tests is
often weak (Hayes et al., 1983
; Piercey et al.,
1982
) or absent (Stevens and Yaksh, 1986
; Tung and Yaksh, 1982
; Walker
et al., 1982a
, 1982b
) but evident in chemical and pressure
tests (Hayes et al., 1983
; Hooke et al., 1995
;
Kaneko et al., 1983
; Nakazawa et al., 1985
).
These data suggest a kappa-opioid or nonopioid profile
because kappa drugs are weak against heat stimuli but
effective against other noxia (Tyers, 1980
; Upton et al.,
1982
). Dynorphin produced effects in rhesus monkeys consistent with a
partial kappa agonist profile, including
temperature-dependent analgesia that was blocked by the
kappa antagonist nor-BNI but not the mu
antagonist clocinnamox, and attenuation of analgesia produced by full
kappa agonists (Butelman et al., 1995
). Dynorphin also engenders unique behavioral signs in rhesus monkeys
(i.e., facial flushing, vocalizations, salivation, sedation
and muscle relaxation) (Aceto and Bowman, 1992
; Butelman et
al., 1995
). In summary, the pharmacodynamic effects of dynorphin
vary depending on the test system (in vitro vs. in vivo) and
assay type and species (rodent vs. primate). It is clear
that its effects are not mu-like, but the
kappa-opioid profile originally shown in vitro
should not necessarily be expected in the intact animal, in which
unique effects may be mediated by nonopioid mechanisms. The present
study extended previous observations by obtaining assessments of both mu- and kappa-like opioid effects in human heroin
abusers familiar with the effects of mu-opioid drugs.
The pharmacokinetics of dynorphin are also complex and may affect its
pharmacodynamic profile. Dynorphin is rapidly metabolized by peptidases
(Herman et al., 1980
; Leslie and Goldstein, 1982
; Young
et al., 1985
), and degradation products are detectable in plasma within minutes (Chou et al., 1994
). A major
metabolite, [des-Tyr1]dynorphin A(2-17), has nonopioid properties
(Hooke et al., 1995
), whereas the effects of other main
metabolites, such as (1-12) and (2-13) fragments and tyrosine, are
still unknown. Thus, the duration of direct effects from dynorphin
A(1-13) might be brief due to its rapid metabolism. Furthermore, the
selectivity of the effects of dynorphin seen after its administration
could be low because the peptide and its metabolites are in flux
(Leslie and Goldstein, 1982
). Presumably, it would be advantageous to study the effects of dynorphin during a continuous infusion
(i.e., when a steady state level is achieved) to maximize
the stability and selectivity of its actions. This approach
with
assessments both during and after a continuous drug infusion
was used
in the present study.
Preclinical data suggest that dynorphin could have important clinical
applications. In opioid-tolerant animals, dynorphin enhances morphine
analgesia (Friedman et al., 1981
; Schmauss and Herz, 1987
;
Song and Takemori, 1992
; Tulunay et al., 1981
) and antagonizes morphine respiratory depression (Woo et al.,
1983
). The ability of dynorphin to increase pain relief and reduce
respiratory toxicity from opioids could certainly benefit opioid
abusers and chronically treated pain patients. Furthermore, dynorphin
can attenuate the signs and/or symptoms of spontaneous withdrawal in
morphine-dependent animals (Aceto et al., 1982
; Green and
Lee, 1988
) and heroin-dependent humans (Wen and Ho, 1982
; Wen et
al., 1984
). Khazan et al. (1983)
reported that
dynorphin A(1-13) (0.25 mg/kg i.v.) could substitute for morphine (10 mg/kg i.v.) in physically dependent rats and that abstinence signs were
"minimal" during saline substitution for dynorphin. Takemori
et al. (1992
, 1993)
used the naloxone-precipitated
withdrawal paradigm to study the ability of dynorphin to attenuate
signs of physical dependence in mice that had been implanted with
morphine pellets for 3 days. This model can be used to study potential
treatment effects when a candidate medication is given before or after
antagonist challenge. Takemori et al. (1992)
showed that the
administration of dynorphin 5 min before or 2 min after naloxone in
morphine-dependent animals attenuated precipitated withdrawal effects,
but dynorphin administered before naloxone was relatively more
effective. Whether this treatment effect is opioid mediated is unclear
because Takemori et al. (1993)
found that not only dynorphin
A(1-13) and (1-17) but also the nonopioid (2-17) fragment could
suppress naloxone-precipitated withdrawal. Although dynorphin has been
safely administered to human chronic pain patients for analgesic
testing (Wen et al., 1985
, 1987
), there are no published
data on whether dynorphin can modulate naloxone-precipitated opioid
withdrawal in humans.
There were two objectives in this study, pursued as two phases during a
single protocol. In phase 1, we evaluated the effects of dynorphin in
nondependent, opioid-experienced subjects. The characterization of the
human pharmacology of dynorphin may provide clues about its receptor
mechanism of action and yield practical information on its dose
effects, duration of action and safety for future clinical studies. In
phase 2, we modeled preclinical studies that have shown that dynorphin
can modulate the expression of naloxone-precipitated withdrawal after
morphine exposure (Takemori et al., 1992
, 1993
). To
specifically look for withdrawal modulation effects in humans, we
extended our previous work with the acute morphine physical dependence
paradigm (Azorlosa et al., 1994
; Bickel et al.,
1988
; Heishman et al., 1989a
, 1989b
, 1990
; Kirby et
al., 1990
) to determine whether the preclinical findings could be
replicated in human volunteers.
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Methods |
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Participants. The U.S. Food and Drug Administration and the local institutional review board approved this study. Volunteers were recruited from the Baltimore community by newspaper advertisements and word-of-mouth to participate in inpatient drug research. All acceptable volunteers (ages 18 to 50 years) showed objective signs of current intravenous opioid use (needle tracking marks and positive urine for opioids at screening) and reported sporadic opioid (i.e., heroin) use but were not physically dependent on entering the study. This was confirmed by the absence of a response to naloxone (10 mg/70 kg i.v.) challenge before the first experimental session. Volunteers provided a medical history and received a physical examination; those selected had no chronic health problems and were not taking prescribed medications. Subjects were excluded if they reported a history of treatment for psychiatric or alcohol problems. Volunteers were required to provide a urine sample that tested negative for opioids and a Breathalyzer sample that was negative for alcohol at the time of admission. After admission to the residential research unit, each participant provided written informed consent, was oriented to the study procedure and was paid per diem for successful study completion. Volunteers lived on the research unit for ~5.5 weeks, during which pre- and post-experimental naloxone challenges and all test sessions for phase 1 and phase 2 were conducted.
All six participants were African American men with a mean age of 39.5 years (range, 27-46 years) and a mean educational level of 13.2 years (range, 12-16 years). Subjects reported an extensive lifetime use of illicit opioids (mean, 21.2 years; range, 10-30 years) and current intravenous heroin use of 9 times (range, 4-12 times) within the 30 days before intake, with a mean of ~$15 (range, $5-25) spent per day. All six subjects reported using cocaine, alcohol and tobacco and four subjects used marijuana within the 30 days before intake.Study Design
Subjects participated sequentially in a two-phase study testing the direct effects (phase 1: first 2 weeks) and the withdrawal modulatory effects (phase 2: second 2 weeks) of dynorphin.
Direct effects.
The phase 1 design was within-subject with
four test sessions, scheduled twice per week, to ensure independence of
test conditions. To increase safety, dynorphin doses were administered
in an ascending series, beginning with placebo and progressing from 0.1 to 0.32 to 1.0 mg/kg. Dynorphin dose selection was in part based on
preclinical studies; in addition, the 1 mg/kg i.v. dose matches that
being used by another group studying the effects of dynorphin in
opioid-dependent subjects (Specker et al., 1996
) and is half
of the maximum dose that has recently been studied in opioid-dependent
chronic pain patients (Balla et al., 1993
).
Modulation of naloxone-precipitated effects. The phase 2 design was within-subject with four test conditions, scheduled twice per week, to ensure independence of test conditions. Subjects received morphine either 15 hr (subjects 1-3) or 18 hr (subjects 4-6) before each test session. There were four test conditions: dynorphin with low- vs. high-dose naloxone and placebo with low- vs. high-dose naloxone. The two naloxone challenge doses were intended to produce different levels of withdrawal symptoms. During test sessions, a 15-min dynorphin or placebo pretreatment infusion was followed 5 min later by naloxone challenge. The lower naloxone challenge dose was always administered in the first two test sessions, and the higher dose of naloxone was always administered in the final two test sessions. This constrained randomized crossover design was adopted for safety reasons because higher-dose challenges could be cancelled if any adverse effects were detected with lower-dose challenge. The order of placebo and active dynorphin administration at each naloxone dose level was randomized.
Drugs
Dynorphin A(1-13) and mannitol placebo in 10-mg
vials4 were stored at
20° F. Doses were
reconstituted under aseptic conditions within 1 hr before injection.
The dynorphin solution passed through a millipore filter attached to a
30-ml syringe, which was loaded in a programmable infusion pump.
Dynorphin was always given as a 15-min continuous intravenous infusion
(volume, 20 ml). Morphine sulfate (15 mg/70 kg; DuPont, Wilmington, DE)
was administered intramuscularly in a volume of 2.5 ml. Naloxone
hydrochloride (1 or 3 mg/70 kg and 10 mg/70 kg; DuPont) was
administered in a volume of 5 ml as a 5-min manual, continuous
intravenous infusion. Sterile 0.9% NaCl was the vehicle for morphine
and naloxone. All drugs were administered under double-blind
conditions.
Procedure
Before each session, the subject ate breakfast (completed by 7:00 a.m.) and was not permitted to smoke cigarettes from midnight before the session until the end of the session. Caffeine intake was prohibited throughout the residential stay. The volunteer was escorted from the residential unit to a quiet, light-controlled test area for all test sessions. Each test session consisted of a predrug base-line and a postdrug testing phase. Physiological signs, subjective symptoms and observer-rated withdrawal signs were measured at base line and periodically throughout the session (see below).
Direct effects.
Phase 1 sessions began at 9:30 a.m.
Intensive data recording and safety monitoring occurred throughout the
session. Base-line measures were taken at session start (time,
10
min). At 9:40 a.m. (time, 0 min), the 15-min dynorphin or placebo
intravenous infusion (injection 1) was initiated, and at 9:55 a.m.
(time, 15 min), the infusion ceased. The first postdrug assessment took place at 9:50 a.m. (time, 10 min). At 10:00 a.m. (time, 20 min), a
5-min saline placebo infusion (injection 2) began, and it concluded at
10:05 a.m. This procedure served to maintain double-blind drug administration for phase 2, which involved naloxone challenge at this
time. Starting at 10:05 a.m. (time, 25 min) and every 10 min thereafter
until 115 min postdrug, the volunteer completed the assessment battery.
Modulation of naloxone-precipitated effects. In phase 2, volunteers received morphine on the residential unit the day before each test session. Subjects were administered three intramuscular injections of 15 mg/70 kg morphine spaced at 5-hr intervals (i.e., 9:00 a.m., 2:00 p.m. and 7:00 p.m.) for subjects 1 to 3 or at 4-hr intervals (i.e., 8:00 a.m., 12:00 noon and 4:00 p.m.) for subjects 4 to 6; in all cases, the cumulative dose was 45 mg/70 kg. The test session took place the following morning. During this session, the subject received two intravenous injections, with timing as described for phase 1. The first injection was a 15-min continuous intravenous infusion of placebo or 1 mg/kg dynorphin (counterbalanced order within each challenge dose assessment). The second was a 5-min continuous intravenous infusion of a low or high dose of naloxone (ascending order). High dose was always 10 mg/70 kg. Low dose was 3 mg/70 kg for subjects 1 to 3 and 1 mg/70 kg for subjects 4 to 6. Phase 2 assessment time points were identical to phase 1. However, session time was defined as relative to start of naloxone (rather than dynorphin) infusion (i.e., naloxone infusion was time 0-5 min).
Test Session Measures
During test sessions, four subjective report measures were administered sequentially at each assessment time point in the order presented below:
Subjective effects. The Drug Effect Questionnaire had six VAS questions that were analyzed individually. Subjects rated from 0 (not at all) to 100 (extremely) the items high, any drug effect, good drug effect, bad drug effect, withdrawal sickness and drug liking.
The Opiate Adjective Checklist consisted of 38 items denoting typical opioid agonist (+) and opioid antagonist (
) effects, with items (and
subscale grouping) completed in the following order: normal (not
included in scoring), muscle cramps (
), flushing (
), painful joints
(
), turning of stomach (+), yawning (
), nodding (+), restless (
),
skin itchy (+), watery eyes (
), sluggish feeling (+), runny nose
(
), relaxed (+), chills/gooseflesh (
), dry mouth (+), sick to
stomach (
), coasting (+), sneezing (
), carefree (+),
talkative/"soapboxing" (+), friendly (+), good mood (+), abdominal
cramps (
), pleasant sick (+), irritable (
), energetic (+), backache
(
), drive (+), tense and jittery (
), sweating (
), depressed/sad
(
), sleepy (
), shaky hands (
), hot or cold flashes (
), drunken
(+), bothered by noise (
), nervous (+) and skin clammy and damp (
).
Subjects rated each item on a 5-point scale using the adjective phrases
"not at all" (0), "a little" (1), "moderately" (2),
"quite a bit" (3) and "extremely" (4). Individual item scores
and total scores (i.e., sum of items for the opioid agonist
and antagonist subscales) were used in the data analysis. The maximum
agonist scale score is 64, and the maximum antagonist scale score is
84.
The Drug Identification Questionnaire is a forced-choice decision to
the question, "What type of drug effect do you have right now?" The
subject could choose among 10 options: blank or placebo, opiate, opiate
antagonist (defined as an opiate "withdrawal-like" effect),
phenothiazine, barbiturate or sleeping medication, antidepressant, hallucinogen, benzodiazepine, stimulant and other. During an initial training session, each subject was instructed about the characteristic effects that drugs in each of these classes produce and trade and
street names of representative drugs in each class. Frequency of drug
identifications in each drug class was recorded in each condition at
each time point. Virtually all drug identifications were either
placebo, opiate or opiate antagonist; data for these categories were
subjected to separate analyses. The unit of analysis was the number of
times that each subject identified drug as placebo, opiate and opiate
antagonist at selected time points (10 and 25 min postdrug; see below)
at each dose level.
Side effects from drug administration were assessed. The list of
dynorphin-related side effects was based on preliminary data from
clinical studies in the Investigator's Brochure (Neurobiological Technologies, Inc., 1993). A total of 14 side effects were rated by the
subject. Three items (flushing, itchy and dry mouth) were already part
of the Opiate Adjective Checklist and thus were not duplicated.
Volunteers rated 11 other items on a customized Side Effects
Questionnaire using a VAS format (0-100 scale). Each question was
worded as, "How (much) do you feel right now?" using the
following phrases: difficulty breathing, nasal congestion, tingling in
the extremities, chest pressure, slurring of speech, headache,
lightheaded or faint, sensation at the injection site, swelling
sensation, giddy or euphoric and pressure in the head.
Physiological signs. Immediately after completion of the subjective test battery at each session time point, pupil diameter was assessed by taking Polaroid photographs of the right eye (in dim lighting at 3× magnification). Pupil diameter was measured directly from the photographs (to an accuracy of 0.01 ml) using precision calipers. The scorer was blind to experimental condition. Respiration rate was measured continuously by chest bellows connected to an Apple IIgs microcomputer; analog pressure changes were converted to breaths/min for each 1 min of the session. Heart rate and blood pressure (systolic, diastolic and mean arterial) were recorded every 1 min by using a Sentron automatically inflatable cuff. Skin temperature was recorded every 1 min using a thermistor taped to the distal end of the nondominant index finger. Respiration rate, skin temperature, heart rate and blood pressure data were averaged across 10 min of base line and for 10-min time intervals during the remainder of the session.
Observer-rated signs.
A trained research assistant was
present during test sessions to observe the subject for objective
opioid withdrawal signs. The research assistant, who was blind to test
condition, rated six withdrawal signs using a modified Himmelsbach
(1941)
withdrawal severity scale (Eissenberg et al., 1996
).
The observer rated each of the signs on a 3-point scale, where 0 = none, and 1 and 2 were individualized for each sign. Signs and their
ratings were: yawning, 1 = one yawn during the observation period
(since last measurement), 2 = two or more yawns during observation
period; lacrimation, 1 = manually induced tearing of the eye,
2 = spontaneous tearing of the eye; rhinorrhea, 1 = watery
sound when sniffing in either nostril, 2 = spontaneous runny nose;
perspiration, 1 = can palpate sweat on skin, 2 = can observe
sweat without touching subject; gooseflesh, 1 = can feel bumps
after manually stimulating skin, 2 = spontaneous piloerection
(without touching) and restlessness, 1 = one behavioral sign,
2 = two or more behavioral signs. Behavioral signs of restlessness
were scored when the subject shifted position at least once during the
observation period, moved legs rhythmically for >5 sec, fidgeted with
hands for >5 sec or made verbal comments expressing a desire for the
procedure to end. The six scores for the individual items were summed
to form a composite observer rating score (maximum composite score,
12).
Morphine Pretreatment Measures
On days when the volunteer remained on the residential unit and received three intramuscular injections (saline during phase 1, morphine during phase 2), data were collected 30 min before and 1 hr after each injection, resulting in six data points for each divided dose pretreatment. Morphine effects are described in "Results" to show that these subjects did respond in an appropriate fashion to the opiate agonist drug.
Subjective effects from pretreatments were reported using the Opiate Adjective Checklist and VAS items similar to those used in test sessions (high, any drug effect, good drug effect, bad drug effect, like drug effect, dislike drug effect and desire more drug). Physiological measures collected by nursing staff at these same time points included pupil diameter (Polaroid photo), oral temperature, auscultatory systolic and diastolic blood pressure, manually determined pulse rate and respiration rate (observed by counting chest movements).
Data collection time-line.
Subjective report, observer
rating and pupil measures were obtained periodically throughout each
test session. Order of measurement was Drug Effect Questionnaire,
Opiate Adjective Checklist, Drug Identification Questionnaire, Side
Effect rating scales, pupil photograph and observer ratings. For phase
1 (sessions 1-4), data were collected starting at 15 min (
15 min
base line) before the start of dynorphin administration (time, 0) and
at 10, 25, 35, 45, 55, 65, 75, 85, 95, 105 and 115 min after the start
of 15-min dynorphin infusion. For phase 2 (sessions 5- 8), the
identical drug injection and assessment schedule was used to maintain
the double-blind, but session time 0 was defined as the start of
naloxone infusion. Base-line data were collected 10 min before naloxone administration. Postchallenge data were collected at 5, 15, 25, 35, 45, 55, 65, 75, 85 and 95 min after the start of the naloxone infusion.
Data Analysis
Measures were pupil diameter, respiration rate, skin temperature, heart rate, systolic and diastolic blood pressure, Drug Effect Questionnaire (six VAS scores), individual item and subscale scores for the Opiate Adjective Checklist, Drug Identification Questionnaire and individual item and composite scores of observer-rated withdrawal signs.
Dynorphin direct effects. Sessions 1 to 4 were designed to evaluate the dose- and time-related effects of dynorphin. Data were analyzed using two-way dynorphin dose × session time ANOVAs. Tukey's post hoc tests were used to evaluate the significance of active dynorphin (0.1, 0.32 and 1 mg/kg) vs. placebo score differences at each time point; critical difference scores were based on the two-way interaction error term.
Morphine pretreatment effects. On days before sessions 5 to 8, morphine pretreatment effects were evaluated. Because initial analysis indicated that morphine pretreatment effects did not vary across sessions, results from within-session time (6 points: 30 min before and 1 hr after each of the three intramuscular injections) ANOVAs are reported. Tukey's post hoc tests were used to evaluate changes in postdrug response relative to predrug (i.e., 30 min before injection 1) base line.
Modulation of naloxone-precipitated effects. Sessions 5 to 8 were designed to evaluate the ability of dynorphin to alter naloxone-precipitated withdrawal effects. Initial data analysis revealed no difference in precipitated effects from the two low naloxone doses (1 and 3 mg/70 kg); therefore, these low doses were collapsed into a single level of this naloxone dose factor. Data were thus analyzed using three-way dynorphin dose (0 vs. 1 mg/kg) × naloxone dose (low [1 or 3 mg/70 kg] vs. high [10 mg/70 kg]) × session time ANOVAs. Tukey's tests were used to identify significant dynorphin (1 mg/kg) vs. placebo score differences for high vs. low naloxone dose conditions at each time point; critical difference scores were based on the three-way interaction error term.
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Results |
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Phase 1: Direct Effects
Subjective effects.
Dynorphin produced transient increases in
some subjective ratings that peaked during or at the first measurement
point after infusion, depending on the measure, and then quickly
dissipated. Figure 1 shows that dynorphin produced dose-
and time-dependent changes in subjects' reports of feeling "any drug
effect." Scores were significantly elevated for both the 0.32 and 1 mg/kg doses at the during-infusion (10 min) and first postinfusion (25 min) measurement points, dose × time F(33,165) = 4.97.
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.50. Due to the small sample
size in this study, none of these correlations were significant, nor
were correlations between age of the subject and these measures.
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Physiological signs. Dynorphin did not significantly change any of the physiological signs measured here. Mean pupil diameter values ranged from 4.8 to 5.7 mm across the four test (i.e., dose) sessions and showed no consistent within-session (i.e., time related) trends. Most other physiological signs showed progressive changes from preinjection base line to end of the session, which resulted in significant time effects but no dose × time interaction. Mean finger temperature (i.e., averaged across doses) increased from 91.5° F at base line to 94.5° F at end of the session. Mean respiration rate decreased from 19.5 breaths/min at base line to 16 breaths/min. Mean heart rate decreased from 75 beats/min at base line to 70 beats/min. Mean systolic blood pressure decreased from 120 mm Hg at base line to 112 mm Hg. Diastolic blood pressure did not show systematic changes. However, one volunteer experienced a transient (<5 min) decrease in diastolic pressure to 40 mm Hg with the high dose immediately after infusion.
Phase 2: Morphine Pretreatment Effects
Subjective effects. Relative to predrug base line, a significant increase in good drug effect ratings (from 0 to 30 on the 0-100 scale; mean across 4 pretreatment days) was observed after the first morphine dose (15 mg/70 kg i.m.), with no further score increases observed after additional 15-mg doses administered at 4- to 5-hr intervals, session time F(5,25) = 12.02. Similar elevations were seen on drug "high," F(5,25) = 6.68, and drug liking, F(5,25) = 9.27. Scores on the agonist scale of the Opiate Adjective Checklist were also significantly elevated after the first daily exposure to 15 mg of morphine, F(5,25) = 8.12, with no further increases after cumulative administrations. Mean predrug score on this measure was 7.7; mean score at 1 hr postdrug was 12.2.
Physiological signs. In contrast to the lack of physiological activity of dynorphin, 15 mg/70 kg morphine significantly constricted pupils (from 5.5 mm predrug to 4.1 mm), with further constriction to 3.5 and 3.1 mm after additional spaced doses within the same day, F(5,25) = 17.01. Relative to base line, morphine 15 mg/70 kg also produced mean increases in oral temperature (from 98.0 to 98.5° F), pulse rate (from 78.7 to 83.5 beats/min) and systolic blood pressure (from 121.8 to 133.8 mm Hg), but these changes were not statistically significant; higher cumulative doses of 30 and 45 mg/70 kg did not produce an additional incremental effect.
Phase 2: Modulation of Naloxone-Precipitated Effects
Subjective effects.
Naloxone challenge given on the day after
morphine treatment produced characteristic opioid withdrawal symptoms
and signs during the test session, including significant increases in
reported withdrawal sickness, bad drug effect and opiate antagonist
symptoms, time F(11,55) values = 8.01, 5.33 and 4.48, respectively. As figure 4 shows, withdrawal sickness
scores rose rapidly, remained significantly elevated for
35 min after
naloxone injection, and then returned gradually to base line during the
remainder of the session. As shown in figure 4, both the intensity and
duration of the opioid withdrawal response were similar for the two
naloxone doses administered. However, the opioid antagonist scale
(adjective checklist) items backache, naloxone dose F(1,5) = 10.0, and flushing, naloxone dose × time F(11,55) = 2.50, showed significantly greater effects with high vs. low
naloxone doses, whereas other antagonist items (muscle cramps,
gooseflesh, sick to stomach and skin damp/clammy) and the antagonist
subscale total score showed trends in the same direction (values for
P < .10).
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3.00. Three opioid antagonist items (restlessness, gooseflesh and
sick to stomach) showed marginal (values for P < .10) dynorphin
effects. In all cases, dynorphin potentiated naloxone-precipitated
effects.
Physiological signs. Similar to the subjective effect measures, naloxone produced time-, but not dose-, related changes in physiological signs of withdrawal. Pupil diameter, heart rate and systolic and diastolic blood pressure each showed significant biphasic (increasing then decreasing) patterns after naloxone, time F(13,65) values = 2.88, 3.67, 2.92 and 6.48, respectively. As figure 4 (bottom) illustrates, skin temperature showed a biphasic (decreasing then increasing) trend across session time, F(13,65) = 3.82, P < .07. For most physiological signs, mean changes were significant from 5 to 25 min after naloxone (both doses). After naloxone, mean pupil size increased ~1 mm, heart rate increased ~3 beats/min, systolic blood pressure increased ~8 mm Hg, diastolic blood pressure increased ~6 mm Hg and skin temperature decreased ~4° F (fig. 4). No significant changes were found for respiration rate. Dynorphin did not significantly modulate naloxone-precipitated changes in physiological signs of withdrawal, although dynorphin tended to exaggerate and prolong naloxone-precipitated decreases in skin temperature, dynorphin × naloxone × time F(13,65) = 2.48, P < .07, as shown in fig. 4.
Observer-rated withdrawal signs. Objective opioid withdrawal signs increased after antagonist challenge. Overall increases in lacrimation, rhinorrhea and yawning items and the observer-rated total score were significant, time F(11,55) = 10.73, 3.91, 7.62 and 9.97, respectively. The 10 mg/70 kg naloxone dose produced significantly longer-lasting lacrimation than the lower dose, naloxone dose × time F(11,55) = 2.52; this trend was also observed in the total observer score, F(11,55) = 1.19, P < .07. Consistent with other measures, dynorphin did not attenuate observer-rated signs of opioid withdrawal.
| |
Discussion |
|---|
|
|
|---|
This study showed that dynorphin A(1-13), at doses within the
range of those that have been given systemically to nondependent rhesus
monkeys (Aceto et al., 1982
; Aceto and Bowman, 1992
;
Butelman et al., 1995
) and human volunteers maintained on
opioids (Balla et al., 1993
; Wen et al., 1984
;
Wen and Ho, 1982
), had pharmacological activity in nondependent humans.
This itself is notable because as an opioid neuropeptide, the ability
of dynorphin to produce drug effects of any type might be limited by
low bioavailability from systemic administration. The compound produced
changes in subjective effects that were time- and dose-related.
Subjective effects from the two higher doses (0.32 and 1 mg/70 kg)
generally peaked during the 15-min intravenous infusion, although some
volunteers showed a peak response at 15 min after the end of the
infusion (fig. 1). In a comparable study of the duration of analgesic
action of dynorphin in rhesus monkeys not tolerant to opioids, effects from 0.1 mg/kg were negligible; effects after acute bolus doses of 0.32 and 1 mg/kg i.v. were apparent at 15 min, peaked at 30 min and returned
to base line at 60 min postdrug; whereas effects from 3.2 mg/kg lasted
up to 75 min (Butelman et al., 1995
). The present data in
human subjects are consistent with these primate analgesic test data in
showing similar dose-effect separation but provide a duration of action
estimate that is relatively shorter for subjective effects. An
important procedural difference between studies is that for safety
reasons, a 15-min intravenous drug infusion was used in this human
study as opposed to a 15-sec intravenous infusion in the rhesus monkey
study.5 This could be expected to reduce both
the intensity and duration of effects. In fact, peak effects occurred
during infusion and dissipated quickly. The transient effects of
dynorphin in this study are consistent with its rapid metabolism;
however, more thorough analysis of pharmacokinetic/pharmacodynamic
relationships will be needed to determine whether the metabolites of
dynorphin A(1-13) could mediate some of the effects observed in this
study.
Opioid-abusing volunteers who were sensitive to the typical subjective
effects of the mu agonist morphine in this study provided mixed subjective reports of the effects of dynorphin. As dynorphin dose
increased, some reported good drug effects and some reported bad drug
effects; all ratings increased in magnitude with increasing dose. As
the dose increased, volunteers also provided drug identification responses consistent with their VAS reports (table 1). The subjects who
reported good drug effects were more likely to identify dynorphin as an
opiate agonist, although opiate antagonist identifications were less
reliably made by those reporting bad drug effects. Taken alone, these
data suggest that the effects of dynorphin are dissimilar to those of
mu-opioid receptor agonists because the latter routinely produce only good drug effect and opioid agonist identifications (Greenwald et al., 1996
; Preston and Bigelow, 1991
).
There were interesting individual differences in the pattern of subjective ratings, particularly at the high dose of dynorphin. Three of the six subjects predominantly liked dynorphin, whereas the other three did not (table 1). Two likers (subjects 2 and 3) experienced only good drug effects and two nonlikers (subjects 5 and 6) experienced only bad drug effects. Although this study used a small sample, we explored the data set to identify factors that might explain this group difference. The only apparent difference was that likers had longer opiate abuse histories (and were older) than the nonlikers. Because all volunteers had extensive histories of opiate use, additional work would be needed to confirm whether this unexpected but interesting finding merits further attention. The mixed pattern of drug effects within and between subjects in this study could be due to pharmacological factors, such as mixed agonist activity at both mu and kappa receptors, but also individual differences in neurobiological function.
Data from the present study suggest that the effects of dynorphin in humans are not primarily (if at all) mediated by mu-opioid receptors. This is consistent with preclinical studies of this peptide, which suggest that its pharmacological effects may be more similar to kappa-opioid or nonopioid compounds than mu-opioids. The present findings, however, are not sufficient to specify further the mechanism(s) of the effects of dynorphin. Mixed or indirect actions at known opioid receptors could be involved, as could nonopioid mechanisms. Drug identifications do suggest that the effects overlap those of the opioid class, but these data should be cautiously interpreted. Volunteers were informed that they might receive opiate drugs, naloxone and dynorphin ("which resembles a natural substance in the brain") and thus may have expected dynorphin to produce opiate-like effects because it was administered in the context of other opiates. This would explain the high frequency with which subjects endorsed opiate-like qualities. However, this instructional set does not explain why subjects rated dynorphin as having both opiate-like (agonist) and withdrawal-like (antagonist) characteristics as drug dose increased under double-blind conditions (fig. 3). In phase 1, opioid agonists were not administered before dynorphin and withdrawal signs/symptoms were not detected; thus, a parsimonious interpretation of these data is that antagonist-like drug identifications of dynorphin by these opiate-experienced subjects may simply reflect a familiar or generic label for "bad" drug effects (i.e., consistent with their VAS ratings, see fig. 2).
It is similarly difficult to interpret the profile of effects observed
as kappa like. Kappa-opioids can produce
diuresis, perceptual distortions, dysphoria, sedation, psychotomimesis
and sleep disruptions in human subjects (Kumor et al., 1984
,
1986
; Pfeiffer et al., 1986
; Pickworth et al.,
1986
), with some weak miotic and respiratory depressant effects (Jaffe
and Martin, 1990
). We have noted that dynorphin did not produce
appreciable physiological (e.g., miotic, respiratory)
changes. Although the full array of potential kappa-opioid
signs described above was not systematically assessed during the
session time-line, our informal observations indicated that they did
not occur at the acute doses tested, with the possible exception of
dysphoria in some subjects (i.e., nonlikers). Therefore, the
data tentatively suggest that the effects of dynorphin are also not
particularly kappa like.
In summary, the effects of dynorphin are not consistent with those of mu agonists and, on the basis of limited human data, also appear to differ from those of kappa agonists. Alternatively, dynorphin could produce its unique pattern of effects through other pathways, such as indirect actions at mu receptors or nonopioid mechanisms. Because the major goals of this study were to establish the safety and duration of action of dynorphin, measurements were intensive and focused on opioid characteristics. Future studies using different methods (e.g., drug discrimination), non-mu drug controls (e.g., kappa-opioids and nonopioids), pharmacokinetic analyses (e.g., to establish any influence of psychoactive metabolites) and measures that assess effects across multiple drug classes (e.g., Addiction Research Center Inventory) may provide novel, useful information concerning the mechanism of action of dynorphin.
One important goal of this study was to determine whether dynorphin
would modulate opioid withdrawal signs or symptoms, as has been
demonstrated in previous studies (Takemori et al., 1992
, 1993
; Wen et al., 1984
; Wen and Ho, 1982
). Dynorphin (1 mg/kg) did not prevent or attenuate the signs or symptoms of
naloxone-precipitated withdrawal after acute morphine (45 mg/70 kg)
pretreatment. Instead, where trends were observed, these were opposite
to the predicted effects, suggesting that dynorphin might potentiate
rather than attenuate the effects of naloxone. The failure to observe
opioid withdrawal attenuation occurred despite the manipulation of
naloxone doses (1-10 mg/70 kg), a feature designed to increase chances of observing the withdrawal-modulating effects of dynorphin.
One explanation for the failure to observe predicted effects is that
the ability of dynorphin to modulate opioid physical dependence may
only occur with relatively greater duration and/or intensity of
morphine exposure. Previous studies in mice have assessed the effects
of dynorphin on naloxone-precipitated withdrawal after more extensive
exposure to high-dose morphine (i.e., 75-mg pellet implanted
for 3 days and left intact during withdrawal assessment) (Takemori
et al., 1992
, 1993
). In another study (Aceto et
al., 1982
), rhesus monkeys were administered 3 mg/kg s.c. every 6 hr for
90 days. In the only study of the effects of dynorphin on
acute opioid physical dependence, a high morphine pretreatment dose
(100 mg/kg s.c.) was given 6 hr before naloxone challenge (Hooke
et al., 1995
). Pretreatments (whether acute or chronic) in
each of the above studies would no doubt have produced a level of
physical dependence markedly greater than that produced in this study.
The higher level of opioid exposure in previous studies may have
engendered quantitatively and/or qualitatively different perturbations
of opioid receptors, second-messenger systems or other processes that
may be more susceptible to dynorphin regulation.
A second reason for failure to observe withdrawal modulation might be
low sensitivity of the precipitated withdrawal model that was used.
Dynorphin might be more likely to exhibit dependence-modulating effects
in a human spontaneous withdrawal model, which would also have greater
clinical relevance. However, a preliminary report by Specker et
al. (1996)
of a completed study that used a spontaneous withdrawal
model did not find a convincing dynorphin (0.15-1.0 mg/kg)
antiwithdrawal effect. These results are consistent with findings from
earlier human studies. For example, Wen and Ho (1982)
and Wen et
al. (1984)
treated different groups of chronic heroin-dependent volunteers with test compounds including dynorphin, other opioid peptides or saline only after their withdrawal symptom scores were
observed to rise 100% above initial levels measured at inpatient treatment admission. Under those conditions, dynorphin A(1-13) (0.06 mg/kg i.v.; a dose that was notably lower than in this study) reduced
withdrawal symptoms 20% to 30% (from pretreatment levels) for ~45
min. Other test compounds (
-endorphin and
[D-Ala2,D-Leu5]enkephalin)
produced similar treatment effects. However, saline treatment also
significantly reduced withdrawal symptoms 10% to 25% (relative to
pretreatment levels) for ~20 min. The roughly equivalent effects of
placebo and dynorphin reported from these earlier studies fail to
support a withdrawal-modulating effect of dynorphin in humans. To
assess sensitivity of the precipitated withdrawal methodology, it would
be useful in future medication-screening studies to incorporate
comparison treatments that are able to modulate the precipitated
withdrawal response. In one previous study using this approach, oral
clonidine attenuated some effects of naloxone-precipitated withdrawal
(Sullivan et al., 1994
). Morphine treatment might also be
used to reduce the expression of physical dependence but only when
given after naloxone because morphine given before naloxone in the
already-dependent subject would be expected to enhance withdrawal
effects (Azorlosa et al., 1994
; Brase et al.,
1976
; Sofuoglu et al., 1990
).
A final possible explanation for the absence of a dynorphin effect on
opioid withdrawal could be low statistical power in the present study.
This seems unlikely, however, because modulation of withdrawal
intensity has been detected in previous human studies of
naloxone-precipitated withdrawal with similar sample sizes of five to
eight subjects when dose or time parameters were manipulated (e.g., Eissenberg et al., 1996
; Greenwald
et al., 1996
; Heishman et al., 1989a
, 1989b
;
Kirby et al., 1990
). Furthermore, as previously noted, no
trends in the predicted direction were observed. Therefore, it is
likely that a larger sample size would either confirm a withdrawal-exaggerating effect of dynorphin or confirm a no-effect result.
In conclusion, dynorphin (0.1-1 mg/kg i.v.) produced significant dose-
and time-dependent subjective effects, but not physiological changes,
in opioid-experienced volunteers who were not physically dependent at
the time of testing. The subjective effects of dynorphin were mixed
(good and bad drug effects), whereas morphine produced only good drug
effects and miosis. Thus, dynorphin was shown to be pharmacologically
active in humans, producing effects that were neither mu nor
kappa like. Dynorphin at
1 mg/kg appeared safe; it
produced no serious side effects when administered intravenously over
15 min. Contrary to predictions from preclinical research, dynorphin
did not significantly attenuate the expression of naloxone-precipitated withdrawal after acute morphine exposure. Rather, trends were observed
on some measures suggesting potentiation of the effects of naloxone.
Thus, with the use of an acute opioid-dependence model with relatively
mild-intensity naloxone-precipitated effects, the ability of dynorphin
to attenuate opioid withdrawal in human volunteers was not evident.
Whether dynorphin might be an effective antiwithdrawal agent in human
subjects with more severe opioid dependence (analogous to animal
subjects in preclinical studies) and/or in spontaneous withdrawal
models should be investigated before concluding that the
withdrawal-attenuating properties of this neuropeptide are absent in
human volunteers.
| |
Acknowledgments |
|---|
The authors thank Dr. Rolley E. Johnson for expert pharmacy preparation, Dr. David Ginn for medical oversight, Jane Casey for intravenous drug administration, John Yingling for technical assistance, Mike DiMarino for consultation in data analysis and Michelle Conroy for data collection and handling.
| |
Footnotes |
|---|
Accepted for publication February 24, 1997.
Received for publication October 3, 1996.
1 This research was supported by United States Public Health Service Grant DA04011 and Research Training Grant T32-DA07209 from the National Institute on Drug Abuse.
2 Present address: Department of Psychiatry and Behavioral Neurosciences, Clinical Research Division on Substance Abuse, Wayne State University School of Medicine, 2761 East Jefferson Ave., Detroit, MI 48207.
3 Present address: U.S. Food and Drug Administration, CDER/DACCAD, Parklawn Bldg., Room 9B-45, 5600 Fishers Lane, Rockville, MD 20857.
4 Neurobiological Technologies, Inc. (Richmond, CA) dynorphin A(1-13) investigator's brochure, February 8, 1993 (unpublished document supplied to investigators for the study of this new drug).
5 M. G. Butelman, personal communication.
Send reprint requests to: Mark Greenwald, Ph.D., Clinical Research Division on Substance Abuse, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, 2761 East Jefferson Avenue, Detroit, MI 48207.
| |
Abbreviations |
|---|
NMDA, N-methyl-d-aspartate; nor-BNI, norbinaltorphimine; VAS, visual analog scale; ANOVA, analysis of variance.
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References |
|---|
|
|
|---|
receptor.
Science
215: 413-415, 1982
-subtype of opiate receptor.
Nature
299: 79-81, 1982[Medline].
-endorphin analgesia in mouse.
Eur. J. Pharmacol.
69: 351-360, 1981.
-opiate site.
Eur. J. Pharmacol.
72: 265-266, 1981[Medline].
-neo-endorphin and dynorphin in rat and human tissue.
Neuropeptides
2: 211-225, 1982.
-receptors.
Eur. J. Pharmacol.
77: 137-141, 1982[Medline].
opiate receptors.
Science
233: 774-776, 1986
-sites in human brain by use of dynorphin 1-17.
Neuropeptides
2: 89-97, 1981.